Interactive co-evolutionary multiple objective optimization algorithms for finding consensus solutions for a group of Decision Makers
出版年份 2022 全文链接
标题
Interactive co-evolutionary multiple objective optimization algorithms for finding consensus solutions for a group of Decision Makers
作者
关键词
-
出版物
INFORMATION SCIENCES
Volume 616, Issue -, Pages 157-181
出版商
Elsevier BV
发表日期
2022-10-19
DOI
10.1016/j.ins.2022.10.064
参考文献
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注意：仅列出部分参考文献，下载原文获取全部文献信息。- A novel approach for the solution of multiobjective optimization problem using hesitant fuzzy aggregation operator
- (2022) Firoz Ahmad et al. RAIRO-OPERATIONS RESEARCH
- A New Approach to Group Multi-Objective Optimization under Imperfect Information and Its Application to Project Portfolio Optimization
- (2021) Eduardo Fernández et al. Applied Sciences-Basel
- A comprehensive bibliometric analysis of uncertain group decision making from 1980 to 2019
- (2020) Xinxin Wang et al. INFORMATION SCIENCES
- Decomposition-based co-evolutionary algorithm for interactive multiple objective optimization
- (2020) Michał K. Tomczyk et al. INFORMATION SCIENCES
- EMOSOR: Evolutionary multiple objective optimization guided by interactive stochastic ordinal regression
- (2019) Michał K. Tomczyk et al. COMPUTERS & OPERATIONS RESEARCH
- Preference-based cone contraction algorithms for interactive evolutionary multiple objective optimization
- (2019) Miłosz Kadziński et al. Swarm and Evolutionary Computation
- Decomposition-Based Interactive Evolutionary Algorithm for Multiple Objective Optimization
- (2019) Michal K. Tomczyk et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Convex preference cone-based approach for many objective optimization problems
- (2018) Ankur Sinha et al. COMPUTERS & OPERATIONS RESEARCH
- Multi-Phase Balance of Diversity and Convergence in Multiobjective Optimization
- (2018) Haitham Seada et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Consensus efficiency in group decision making: A comprehensive comparative study and its optimal design
- (2018) Hengjie Zhang et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- Evaluation of multi-objective optimization approaches for solving green supply chain design problems
- (2017) Miłosz Kadziński et al. OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
- Heuristics for prioritizing pair-wise elicitation questions with additive multi-attribute value models
- (2017) Krzysztof Ciomek et al. OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
- Learning Value Functions in Interactive Evolutionary Multiobjective Optimization
- (2015) Jurgen Branke et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Bi-objective optimization of a multi-product multi-period three-echelon supply chain problem under uncertain environments: NSGA-II and NRGA
- (2015) Seyed Hamid Reza Pasandideh et al. INFORMATION SCIENCES
- Including preferences into a multiobjective evolutionary algorithm to deal with many-objective engineering optimization problems
- (2014) Antonio López-Jaimes et al. INFORMATION SCIENCES
- Fuzzy Group Decision Making for Multiobjective Problems: Tradeoff between Consensus and Robustness
- (2013) Jian Xiong et al. Journal of Applied Mathematics
- Application of the non-outranked sorting genetic algorithm to public project portfolio selection
- (2012) Eduardo Fernandez et al. INFORMATION SCIENCES
- Multiobjective evolutionary algorithms: A survey of the state of the art
- (2011) Aimin Zhou et al. Swarm and Evolutionary Computation
- An Interactive Evolutionary Multiobjective Optimization Method Based on Progressively Approximated Value Functions
- (2010) Kalyanmoy Deb et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- A Preference-Based Evolutionary Algorithm for Multi-Objective Optimization
- (2009) Lothar Thiele et al. EVOLUTIONARY COMPUTATION
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