Pub Date : 2022-12-22DOI: 10.17535/crorr.2022.0011
Tomislava Pavić Kramarić, M. Pervan, M. Ćurak
Although a relatively large number of studies have been focused on evaluating the efficiency of insurance companies from different aspects, analysis of factors that determine the achieved level of insurers’ efficiency is still in their inception. While these studies primarily encompass insurance companies operating in developed insurance markets, such research based on the sample of Croatian non-life insurers does not exist. Therefore, this paper is focused on the efficiency drivers of the insurance companies that operate in the Croatian non-life insurance market. The research is based on data for 18 insurance companies in the period from 2009 to 2021. Applying Data envelopment analysis (DEA) and Truncated regression, the research results show that age and ownership influence the efficiency of non-life insurance companies in Croatia, while the companies’ size, leverage, and product diversification are not confirmed as significant determinants of the efficiency.
{"title":"Determinants of Croatian Non-Life Insurance Companies’ Efficiency","authors":"Tomislava Pavić Kramarić, M. Pervan, M. Ćurak","doi":"10.17535/crorr.2022.0011","DOIUrl":"https://doi.org/10.17535/crorr.2022.0011","url":null,"abstract":"Although a relatively large number of studies have been focused on evaluating the efficiency of insurance companies from different aspects, analysis of factors that determine the achieved level of insurers’ efficiency is still in their inception. While these studies primarily encompass insurance companies operating in developed insurance markets, such research based on the sample of Croatian non-life insurers does not exist. Therefore, this paper is focused on the efficiency drivers of the insurance companies that operate in the Croatian non-life insurance market. The research is based on data for 18 insurance companies in the period from 2009 to 2021. Applying Data envelopment analysis (DEA) and Truncated regression, the research results show that age and ownership influence the efficiency of non-life insurance companies in Croatia, while the companies’ size, leverage, and product diversification are not confirmed as significant determinants of the efficiency.","PeriodicalId":44065,"journal":{"name":"Croatian Operational Research Review","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2022-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44934189","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-22DOI: 10.17535/crorr.2022.0013
Marinela Mokriš
In the European Union, the public sector buildings are considered significant energy consumers and are, thus, the subject of several directives that aim to ensure the renovation of existing and the construction of new buildings as nearly zero-energy buildings. Therefore, as part of the decision making, it is necessary to properly plan the renovation or construction. This research provides models for predicting the energy costs of the public sector buildings, which are dependent upon its characteristics (i. e., constructional, occupational, energy, etc.). For this purpose, a real data set of Croatian public buildings was used, which included 150 variables and 1724 observations. Since the data set consisted of a large number of variables, the motivation for the dimensionality reduction was addressed first. Then, the independent component analysis, the principal component analysis, and the factor analysis were performed as the dimensionality reduction methods for variable extraction. The results of these analyses were used as inputs for modelling the energy costs of the public sector buildings. The obtained models were compared to the model built on original variables. The obtained models show the application potential in decision making for building renovation and construction in the public sector of Croatia, whereas the best performance of prediction in terms of RMSE and SMAPE was achieved by the model that integrated the independent component analysis with the linear regression.
{"title":"The independent component analysis with the linear regression – predicting the energy costs of the public sector buildings in Croatia","authors":"Marinela Mokriš","doi":"10.17535/crorr.2022.0013","DOIUrl":"https://doi.org/10.17535/crorr.2022.0013","url":null,"abstract":"In the European Union, the public sector buildings are considered significant energy consumers and are, thus, the subject of several directives that aim to ensure the renovation of existing and the construction of new buildings as nearly zero-energy buildings. Therefore, as part of the decision making, it is necessary to properly plan the renovation or construction. This research provides models for predicting the energy costs of the public sector buildings, which are dependent upon its characteristics (i. e., constructional, occupational, energy, etc.). For this purpose, a real data set of Croatian public buildings was used, which included 150 variables and 1724 observations. Since the data set consisted of a large number of variables, the motivation for the dimensionality reduction was addressed first. Then, the independent component analysis, the principal component analysis, and the factor analysis were performed as the dimensionality reduction methods for variable extraction. The results of these analyses were used as inputs for modelling the energy costs of the public sector buildings. The obtained models were compared to the model built on original variables. The obtained models show the application potential in decision making for building renovation and construction in the public sector of Croatia, whereas the best performance of prediction in terms of RMSE and SMAPE was achieved by the model that integrated the independent component analysis with the linear regression.","PeriodicalId":44065,"journal":{"name":"Croatian Operational Research Review","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2022-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47189691","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-22DOI: 10.17535/crorr.2022.0014
R. Sinha, Violeta Cvetkoska, Filip Peovski
In the current millennium, the Indian general insurance market has witnessed major structural changes because of the establishment of a market regulator and the initiation of entry deregulation. The present study evaluates the efficiency performance of fifteen Indian general insurance companies for the period 2011/12 - 2016/17 using a robust nonparametric approach. The study also seeks to explain efficiency by considering the influence of environmental variables on the efficiency scores. The results indicate that efficiency is positively related to ownership, insurer age, market share, and return on equity but negatively related to size.
{"title":"Efficiency of Indian General Insurance Companies","authors":"R. Sinha, Violeta Cvetkoska, Filip Peovski","doi":"10.17535/crorr.2022.0014","DOIUrl":"https://doi.org/10.17535/crorr.2022.0014","url":null,"abstract":"In the current millennium, the Indian general insurance market has witnessed major structural changes because of the establishment of a market regulator and the initiation of entry deregulation. The present study evaluates the efficiency performance of fifteen Indian general insurance companies for the period 2011/12 - 2016/17 using a robust nonparametric approach. The study also seeks to explain efficiency by considering the influence of environmental variables on the efficiency scores. The results indicate that efficiency is positively related to ownership, insurer age, market share, and return on equity but negatively related to size.","PeriodicalId":44065,"journal":{"name":"Croatian Operational Research Review","volume":"1 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2022-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41352973","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-22DOI: 10.17535/crorr.2022.0015
Josip Arnerić, Antoni Šitum
The causes and the consequences of the real exchange rates misalignment's of European Union (EU) members were examined in this paper by implementing stationary panel vector autoregression (PVAR) model with fixed effects. PVAR methodology was recognized as the most appropriate in line with data structure and the objectives of the research. For estimation purpose, the generalized method of moments (GMM) in first differences, with a reduced number of instruments, was applied. Primarily objective was to find whether a collapsed matrix of instruments helps in reducing the dynamic panel bias within the two--step estimation of PVAR model when employing the first difference GMM estimator. Even though, the benefits of collapsed instrument matrix have been documented in rare simulation studies, this paper empirically demonstrates it's utility considering balanced panel data. In that context, recommendations to potential users are given and supported by open source codes in the RStudio environment. Besides, auxiliary findings contribute to a better understanding of influential channels through which EU policy makers should reduce a real exchange rates misalignment's.
{"title":"PVAR model with collapsed instruments in the real exchange rates misalignment's analysis","authors":"Josip Arnerić, Antoni Šitum","doi":"10.17535/crorr.2022.0015","DOIUrl":"https://doi.org/10.17535/crorr.2022.0015","url":null,"abstract":"The causes and the consequences of the real exchange rates misalignment's of European Union (EU) members were examined in this paper by implementing stationary panel vector autoregression (PVAR) model with fixed effects. PVAR methodology was recognized as the most appropriate in line with data structure and the objectives of the research. For estimation purpose, the generalized method of moments (GMM) in first differences, with a reduced number of instruments, was applied. Primarily objective was to find whether a collapsed matrix of instruments helps in reducing the dynamic panel bias within the two--step estimation of PVAR model when employing the first difference GMM estimator. Even though, the benefits of collapsed instrument matrix have been documented in rare simulation studies, this paper empirically demonstrates it's utility considering balanced panel data. In that context, recommendations to potential users are given and supported by open source codes in the RStudio environment. Besides, auxiliary findings contribute to a better understanding of influential channels through which EU policy makers should reduce a real exchange rates misalignment's.","PeriodicalId":44065,"journal":{"name":"Croatian Operational Research Review","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2022-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49208778","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-22DOI: 10.17535/crorr.2022.0010
Mona Habibpoor, M. Alirezaee, J. Rashidinia
Regional bank branch management is the most important elements of a bank’s structure. Each regional bank branch manager (RBBM) manages a large group of branches. In this paper, we develop a bi-level structure for the evaluation of RBBMs. In the developed bi-level structure, RBBMs are positioned at the upper level, and each RBBM has a group of branches located at the lower level. Generally, each RBBM, including their branches, tries to use inputs and produce outputs efficiently. However, each branch performs according to its goals and limited resources. The evaluation is a data envelopment analysis (DEA)-based model that focuses on the bank’s consumption perspective. We apply the suggested model to a real-world case study to evaluate five RBBMs, who altogether manage 110 branches in one of the expert banking systems.
{"title":"Developing a Bi-Level Structure for Evaluation of Regional Bank Branch Managers Focusing on their Consumption","authors":"Mona Habibpoor, M. Alirezaee, J. Rashidinia","doi":"10.17535/crorr.2022.0010","DOIUrl":"https://doi.org/10.17535/crorr.2022.0010","url":null,"abstract":"Regional bank branch management is the most important elements of a bank’s structure. Each regional bank branch manager (RBBM) manages a large group of branches. In this paper, we develop a bi-level structure for the evaluation of RBBMs. In the developed bi-level structure, RBBMs are positioned at the upper level, and each RBBM has a group of branches located at the lower level. Generally, each RBBM, including their branches, tries to use inputs and produce outputs efficiently. However, each branch performs according to its goals and limited resources. The evaluation is a data envelopment analysis (DEA)-based model that focuses on the bank’s consumption perspective. We apply the suggested model to a real-world case study to evaluate five RBBMs, who altogether manage 110 branches in one of the expert banking systems.","PeriodicalId":44065,"journal":{"name":"Croatian Operational Research Review","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2022-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48488410","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-22DOI: 10.17535/crorr.2022.0012
Damira Keček, Davor Mikulić, Katarina Fotova Čiković
Despite the numerous benefits of information and communications technology (ICT) in promoting economic growth and sustainable development, its impacts are insufficiently researched. In particular, there have been few attempts to quantity the contribution of ICT sectors to national economies or the level of integration between ICT sectors. In this paper, an alternative model of sector extraction is developed to quantify the importance of ICT sectors in open and closed input--output systems. The proposed model calculates the contribution of ICT sectors to the national gross value added and employment, as well as the cross-sectoral and intra-sectoral deliveries between ICT sectors. The model is applied to study the Croatian ICT sectors in the years 2010 and 2020. The results indicate that the ICT manufacturing industries lag behind ICT service industries in Croatia. The level of integration differs between individual ICT sectors.
{"title":"Economic contribution and integration of Croatian ICT sectors","authors":"Damira Keček, Davor Mikulić, Katarina Fotova Čiković","doi":"10.17535/crorr.2022.0012","DOIUrl":"https://doi.org/10.17535/crorr.2022.0012","url":null,"abstract":"Despite the numerous benefits of information and communications technology (ICT) in promoting economic growth and sustainable development, its impacts are insufficiently researched. In particular, there have been few attempts to quantity the contribution of ICT sectors to national economies or the level of integration between ICT sectors. In this paper, an alternative model of sector extraction is developed to quantify the importance of ICT sectors in open and closed input--output systems. The proposed model calculates the contribution of ICT sectors to the national gross value added and employment, as well as the cross-sectoral and intra-sectoral deliveries between ICT sectors. The model is applied to study the Croatian ICT sectors in the years 2010 and 2020. The results indicate that the ICT manufacturing industries lag behind ICT service industries in Croatia. The level of integration differs between individual ICT sectors.","PeriodicalId":44065,"journal":{"name":"Croatian Operational Research Review","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2022-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42277319","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-12DOI: 10.17535/crorr.2022.0005
Filip Peovski, Violeta Cvetkoska, Predrag Trpeski, I. Ivanovski
Financial analysis plays a major role in investing the disposable income of various economic agents. Stock markets are predominantly made up of small investors with limited information and low capabilities for a suitable analysis. Researchers, as well as practitioners, are divided over the findings on the adequacy of technical analysis in investing. This paper examines the Markov chain process in the stock market to discover the essential links and probabilities for the stocks’ transition through three states of stagnation, growth, and decline (i.e., stagnant, bull, and bear markets). The subject of analysis is a randomly selected portfolio of 20 shares traded on the New York Stock Exchange. The data suggest that the portfolio relatively quickly, in four trading days, achieves equilibrium probabilities that allow a certain amount of predictability of future movements. At the same time, when analyzing the expected time intervals for the first transition, we found that the portfolio returns to a state of growth much faster than a decline. In addition, the results negate the basic habits of frequent trading, herding, and taking a short position in events of negative price fluctuations. Our research contributes towards observing regularities and stock market efficiency with a clear goal of improving expectations and technical analysis for small individual investors.
{"title":"Monitoring Stock Market Returns","authors":"Filip Peovski, Violeta Cvetkoska, Predrag Trpeski, I. Ivanovski","doi":"10.17535/crorr.2022.0005","DOIUrl":"https://doi.org/10.17535/crorr.2022.0005","url":null,"abstract":"Financial analysis plays a major role in investing the disposable income of various economic agents. Stock markets are predominantly made up of small investors with limited information and low capabilities for a suitable analysis. Researchers, as well as practitioners, are divided over the findings on the adequacy of technical analysis in investing. This paper examines the Markov chain process in the stock market to discover the essential links and probabilities for the stocks’ transition through three states of stagnation, growth, and decline (i.e., stagnant, bull, and bear markets). The subject of analysis is a randomly selected portfolio of 20 shares traded on the New York Stock Exchange. The data suggest that the portfolio relatively quickly, in four trading days, achieves equilibrium probabilities that allow a certain amount of predictability of future movements. At the same time, when analyzing the expected time intervals for the first transition, we found that the portfolio returns to a state of growth much faster than a decline. In addition, the results negate the basic habits of frequent trading, herding, and taking a short position in events of negative price fluctuations. Our research contributes towards observing regularities and stock market efficiency with a clear goal of improving expectations and technical analysis for small individual investors.","PeriodicalId":44065,"journal":{"name":"Croatian Operational Research Review","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2022-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46185961","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-12DOI: 10.17535/crorr.2022.0009
Ayache Benhadid
The goal of this paper is to present a critique on the incorrect use of the Lipschitz definition concerning the first variable and/or the second variable in the literature on the system of variational inequalities by many authors. The possible impact of this paper is rather important, it questions the results of different authors, particularly when taking into account that some of these papers are published in quite good mathematical journals. As a result, not only that the proofs are wrong, but also the credibility of the theorems themselves is compromised. In addition, this paper illustrate, using a counterexample, that there is an error in setting up first variable definition and the results obtained in listed references do not hold up in H × H.
{"title":"A Valuable Remark on Lipschitz in the First Variable Definition and System of Nonlinear Variational Inequalities","authors":"Ayache Benhadid","doi":"10.17535/crorr.2022.0009","DOIUrl":"https://doi.org/10.17535/crorr.2022.0009","url":null,"abstract":"The goal of this paper is to present a critique on the incorrect use of the Lipschitz definition concerning the first variable and/or the second variable in the literature on the system of variational inequalities by many authors. The possible impact of this paper is rather important, it questions the results of different authors, particularly when taking into account that some of these papers are published in quite good mathematical journals. As a result, not only that the proofs are wrong, but also the credibility of the theorems themselves is compromised. In addition, this paper illustrate, using a counterexample, that there is an error in setting up first variable definition and the results obtained in listed references do not hold up in H × H.","PeriodicalId":44065,"journal":{"name":"Croatian Operational Research Review","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2022-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47618168","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-12DOI: 10.17535/crorr.2022.0004
Shin K.-S., N. Viswanath
Birth-death processes are applied in the modelling of many biological populations, such as tumour cells and viruses. Various studies have established that birth-death processes, which occurwhen the population size is zero, are not in-line with reality in many situations. Therefore, in this study, the birth-death processes with immigration were investigated. We considered two immigration policies. First, immigration is allowed if and only if the population size is zero. Second, immigration at a constant rate is allowed irrespective of the population size. Birth and death rates were chosen such that the mean population size is a Gompertz function when the immigration rate is zero. The transient population size probability was obtained for both cases. Several tumour growth datasets were fitted using the mean population size of the above models and standard birth-death model without immigration. The two models with immigration provided entirely different probabilities of the population size being zero at an arbitrary epoch when compared with the model without immigration. Moreover, all three models provided a similar fit to the data. For each of the datasets studied, the models that allowed immigration produced less variance than the non-immigration model.
{"title":"Study of Birth-Death Processes with Immigration","authors":"Shin K.-S., N. Viswanath","doi":"10.17535/crorr.2022.0004","DOIUrl":"https://doi.org/10.17535/crorr.2022.0004","url":null,"abstract":"Birth-death processes are applied in the modelling of many biological populations, such as tumour cells and viruses. Various studies have established that birth-death processes, which occurwhen the population size is zero, are not in-line with reality in many situations. Therefore, in this study, the birth-death processes with immigration were investigated. We considered two immigration policies. First, immigration is allowed if and only if the population size is zero. Second, immigration at a constant rate is allowed irrespective of the population size. Birth and death rates were chosen such that the mean population size is a Gompertz function when the immigration rate is zero. The transient population size probability was obtained for both cases. Several tumour growth datasets were fitted using the mean population size of the above models and standard birth-death model without immigration. The two models with immigration provided entirely different probabilities of the population size being zero at an arbitrary epoch when compared with the model without immigration. Moreover, all three models provided a similar fit to the data. For each of the datasets studied, the models that allowed immigration produced less variance than the non-immigration model.","PeriodicalId":44065,"journal":{"name":"Croatian Operational Research Review","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2022-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41489133","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-12DOI: 10.17535/crorr.2022.0008
Fakhra Batool Naqvi, Muhammad Yousaf Shad
A genetic algorithm is one of the best optimization techniques for solving complex nature optimization problems. Different selection schemes have been proposed in the literature to address the major weaknesses of GA i.e., premature convergence and low computational efficiency. This article proposed a new selection operator that provides a better trade-off between selection pressure and population diversity while considering the relative importance of each individual. The average accuracy of the proposed operator has been measured by χ2 goodness of fit test. It has been performed on two different populations to show its consistency. Also, its performance has been evaluated on fourteen benchmark problems while comparing it with competing selection operators. Results show the effective performance in terms of two statistics i.e., less average and standard deviation values. Further, the performance indexes and the GA convergence show that the proposed operator takes better care of selection pressure and population diversity.
{"title":"A new fitness-based selection operator for genetic algorithms to maintain the equilibrium of selection pressure and population","authors":"Fakhra Batool Naqvi, Muhammad Yousaf Shad","doi":"10.17535/crorr.2022.0008","DOIUrl":"https://doi.org/10.17535/crorr.2022.0008","url":null,"abstract":"A genetic algorithm is one of the best optimization techniques for solving complex nature optimization problems. Different selection schemes have been proposed in the literature to address the major weaknesses of GA i.e., premature convergence and low computational efficiency. This article proposed a new selection operator that provides a better trade-off between selection pressure and population diversity while considering the relative importance of each individual. The average accuracy of the proposed operator has been measured by χ2 goodness of fit test. It has been performed on two different populations to show its consistency. Also, its performance has been evaluated on fourteen benchmark problems while comparing it with competing selection operators. Results show the effective performance in terms of two statistics i.e., less average and standard deviation values. Further, the performance indexes and the GA convergence show that the proposed operator takes better care of selection pressure and population diversity.","PeriodicalId":44065,"journal":{"name":"Croatian Operational Research Review","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2022-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47726146","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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