Methods That Optimize Multi-Objective Problems: A Survey and Experimental Evaluation
IEEE Access, 2020 Most current multi-optimization survey papers classify methods into broad objective categories and do not draw clear boundaries between the specific techniques employed by these methods.
Kamal Taha
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A Multi-Objective Evolutionary Algorithm With Hierarchical Clustering-Based Selection
IEEE Access, 2023 This paper proposes an evolutionary algorithm with hierarchical clustering based selection for multi-objective optimization. In the proposed algorithm, a hierarchical clustering is employed to design the environmental and mating selections, named local ...
Shenghao Zhou +6 more
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Evolutionary Multiobjective Optimization Driven by Generative Adversarial Networks (GANs) [PDF]
, 2020 Recently, increasing works have proposed to drive evolutionary algorithms using machine learning models. Usually, the performance of such model based evolutionary algorithms is highly dependent on the training qualities of the adopted models.
Cheng, Ran +4 more
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Decomposition-Based Multi-Objective Evolutionary Algorithm Design Under Two Algorithm Frameworks
IEEE Access, 2020 The development of efficient and effective evolutionary multi-objective optimization (EMO) algorithms has been an active research topic in the evolutionary computation community. Over the years, many EMO algorithms have been proposed.
Lie Meng Pang, Hisao Ishibuchi, Ke Shang
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A novel multi-objective evolutionary algorithm based on space partitioning [PDF]
, 2019 To design an e ective multi-objective optimization evolutionary algorithms (MOEA), we need to address the following issues: 1) the sensitivity to the shape of true Pareto front (PF) on decomposition-based MOEAs; 2) the loss of diversity due to paying so ...
F Gu +13 more
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A constrained multi-objective surrogate-based optimization algorithm [PDF]
, 2014 Surrogate models or metamodels are widely used in the realm of engineering for design optimization to minimize the number of computationally expensive simulations.
Couckuyt, Ivo +3 more
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Evolving temporal fuzzy association rules from quantitative data with a multi-objective evolutionary algorithm [PDF]
, 2011 A novel method for mining association rules that are both quantitative and temporal using a multi-objective evolutionary algorithm is presented. This method successfully identifies numerous temporal association rules that occur more frequently in areas ...
C. Carmona +8 more
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International Journal of Computational Intelligence Systems, 2022 The constrained optimization problems can be transformed into multi-objective optimization problems, and thus can be optimized by multi-objective evolutionary algorithms.
Xinsheng Lai
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A Multi-Objective Planning Framework for Optimal Integration of Distributed Generations [PDF]
, 2013 This paper presents an evolutionary algorithm for analyzing the best mix of distributed generations (DG) in a distribution network. The multi-objective optimization aims at minimizing the total cost of real power generation, line losses and CO2 emissions,
Howe, Joe +2 more
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Evolutionary algorithm for multi-objective multi-index transportation problem under fuzziness
Journal of Applied Research on Industrial Engineering, 2020 An Improved Genetic Algorithm (I-GA) for solving multi-objective Fuzzy Multi–Index Multi-objective Transportation Problem (FM-MOTP) is presented. Firstly, we introduce a new structure for the individual to be able to represent all possible feasible ...
Mohammed A. El-Shorbagy +3 more
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