Improved Artificial Bee Colony Algorithm for Multimodal Optimization Based on Crowding Method

Ma, Shijing; Wang, Yunhe; Zhang, Shouwei

doi:10.4018/joeuc.302661

Cited by 7 publications

(5 citation statements)

References 30 publications

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“…Deng and Yan (2019) applied the EBM model to optimize bus routes and departure frequencies. In other research, DEA was applied to evaluate the transfer efficiency of urban bus systems, urban rail systems, and both systems to uncover the influencing factors and improve the efficiency of transportation systems (Yao et al, 2019;Lee et al, 2019;Ma & Zhang, 2022;Taboada & Han, 2020).…”

Section: Non-parametric Methodsmentioning

confidence: 99%

Estimation and Convergence Analysis of Traffic Structure Efficiency Based on an Undesirable Epsilon-Based Measure Model

Cao,

Chen,

Zhang

et al. 2023

International Journal of Information Technologies and Systems Approach

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To improve transportation efficiency, this paper analyzes the factors of transportation structure from the two levels of transportation—input and system output. An epsilon-based measure model of non-expected output is introduced, and the environmental benefits of transportation are considered. This model is used to analyze the regional transportation efficiency of 30 provinces and cities in China. Tobit regression and geographically weighted regression are applied to analyze the causes and spatial variation of differences in the efficiency of the transportation structure, and corresponding structural adjustment strategies are proposed. The results show that the regression coefficients of the share of secondary industry output in GDP, population density, and social fixed asset investment exert the most significant effects on transportation structure efficiency. The spatial distribution of sub-variable coefficients shows that spatial heterogeneity exists in the degree of influence of various socio-economic factors on the transportation structure efficiency in different regions.

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Section: Non-parametric Methodsmentioning

confidence: 99%

Estimation and Convergence Analysis of Traffic Structure Efficiency Based on an Undesirable Epsilon-Based Measure Model

Cao,

Chen,

Zhang

et al. 2023

International Journal of Information Technologies and Systems Approach

View full text Add to dashboard Cite

show abstract

“…More recently, the crowding technique is embedded into an improved artifcial bee colony algorithm (IABC) to make the algorithm capable of tracking and maintaining multiple optima [37]. Two new search mechanisms are designed to enhance the population diversity so that the algorithm can efciently explore diferent regions of the search space.…”

Section: Evolutionary Multimodal Optimizationmentioning

confidence: 99%

“…We compare LLNCDE with several popular multimodal evolutionary algorithms, namely, r3pso-lhc [32], LIPS [33], NCDE [23], dADE/ nrand/1 [25], PNPCDE [26], LoICDE [13], IABC [37], and OIF-BSO [38]. Te frst two algorithms are PSO-based algorithms.…”

Section: Algorithms In Comparisonmentioning

confidence: 99%

Differential Evolution with a Level‐Based Learning Strategy for Multimodal Optimization

Zhang,

Wei,

Zhao

et al. 2023

International Journal of Intelligent Systems

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Multimodal optimization aims at efficiently finding multiple optimal solutions of a problem. Owing to the population-based search mechanism, evolutionary algorithms (EAs) are becoming increasingly popular in solving multimodal optimization problems (MOPs). Most existing work focuses on designing and incorporating niching techniques into EAs so that multiple subpopulations can be formed and assigned to locate different optima. To further enhance the exploration and exploitation abilities of existing EAs, this paper developed a multimodal level-based learning strategy. The basic idea is that individuals should be treated differently according to their positions in the subpopulation. In the evolutionary process, a subpopulation is formed for each candidate solution by grouping its neighboring solutions. Then, individuals in the subpopulation are sorted according to their fitness. Subsequently, the multimodal level-based learning strategy applies different mutation operators to different individuals according to their rankings. Experiments are conducted on a set of benchmark problems to verify the efficacy of the multimodal level-based learning strategy. The results show that the proposed learning strategy can significantly enhance the performance of the existing algorithm. In addition, the algorithm integrated with the proposed strategy is applied to the task of finding multiple roots of nonlinear equation systems (NESs). The results indicate that with the support of the proposed learning strategy, the integrated algorithm compares favorably with state-of-the-art root finding algorithms.

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“…Building up trust is the first step to gaining recognition. Without consumers' trust, it is extremely hard to gain their recognition (Singleton et al, 2020;Ma et al, 2022). Therefore, it is of great value to conduct an in-depth analysis of the influencing factors of consumer's identification with international corporate and have a deep understanding of the cultivation methods for customer identity.…”

Section: Introductionmentioning

confidence: 99%

Consumers' Cognitive Dimension of International Corporate Social Responsibility and Its Correlation With Purchasing Tendency

Zhang

Lin

et al. 2023

Journal of Organizational and End User Computing

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Since the 21st century, international corporate social responsibility attracts great attention. With the continuous improvement of consumers' maturity, they become more and more sensitive to international corporate social responsibility and have higher requirements for corporate to fulfill social responsibility. Besides, the buying decision is affected by international corporate social responsibility more and more apparently. Hence, the research into the impacts of international corporate social responsibility on consumers' buying behavior is of great significance. In the research, consumer identity was set as intervening variable to investigate how consumer buying behavior was affected by corporate social responsibility. After theoretical model was constructed and research hypothesis was put forward, questionnaire investigation approach was adopted for empirical study. It was demonstrated that the significance values of age, occupation, and education level in each factor were small with great differences.

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Improved Artificial Bee Colony Algorithm for Multimodal Optimization Based on Crowding Method

Cited by 7 publications

References 30 publications

Estimation and Convergence Analysis of Traffic Structure Efficiency Based on an Undesirable Epsilon-Based Measure Model

Estimation and Convergence Analysis of Traffic Structure Efficiency Based on an Undesirable Epsilon-Based Measure Model

Differential Evolution with a Level‐Based Learning Strategy for Multimodal Optimization

Consumers' Cognitive Dimension of International Corporate Social Responsibility and Its Correlation With Purchasing Tendency

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