A Self-adaptive Response Strategy for Dynamic Multi-objective Evolutionary Optimization based on Objective Space Decomposition
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Title
A Self-adaptive Response Strategy for Dynamic Multi-objective Evolutionary Optimization based on Objective Space Decomposition
Authors
Keywords
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Journal
EVOLUTIONARY COMPUTATION
Volume -, Issue -, Pages 1-26
Publisher
MIT Press - Journals
Online
2021-01-22
DOI
10.1162/evco_a_00289
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Note: Only part of the references are listed.- Immune Generalized Differential Evolution for dynamic multi-objective environments: An empirical study
- (2018) Maria-Guadalupe Martínez-Peñaloza et al. KNOWLEDGE-BASED SYSTEMS
- Data-Driven Evolutionary Optimization: An Overview and Case Studies
- (2018) Yaochu Jin et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- A coevolutionary technique based on multi-swarm particle swarm optimization for dynamic multi-objective optimization
- (2017) Ruochen Liu et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- A Steady-State and Generational Evolutionary Algorithm for Dynamic Multiobjective Optimization
- (2017) Shouyong Jiang et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Evolutionary Dynamic Multiobjective Optimization: Benchmarks and Algorithm Comparisons
- (2017) Shouyong Jiang et al. IEEE Transactions on Cybernetics
- A Reference Vector Guided Evolutionary Algorithm for Many-Objective Optimization
- (2016) Ran Cheng et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- To Celigny, in the footprints of vilfredo pareto's "optimum" [Historical Corner]
- (2014) Giuseppe Pelosi et al. IEEE ANTENNAS AND PROPAGATION MAGAZINE
- A directed search strategy for evolutionary dynamic multiobjective optimization
- (2014) Yan Wu et al. SOFT COMPUTING
- Quantum immune clonal coevolutionary algorithm for dynamic multiobjective optimization
- (2013) Ronghua Shang et al. SOFT COMPUTING
- A novel cooperative coevolutionary dynamic multi-objective optimization algorithm using a new predictive model
- (2013) Ruochen Liu et al. SOFT COMPUTING
- Population-based metaheuristics for continuous boundary-constrained dynamic multi-objective optimisation problems
- (2013) Mardé Helbig et al. Swarm and Evolutionary Computation
- Evolutionary dynamic optimization: A survey of the state of the art
- (2012) Trung Thanh Nguyen et al. Swarm and Evolutionary Computation
- A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms
- (2011) Joaquín Derrac et al. Swarm and Evolutionary Computation
- Artificial immune system in dynamic environments solving time-varying non-linear constrained multi-objective problems
- (2010) Zhuhong Zhang et al. SOFT COMPUTING
- Optimization in dynamic environments: a survey on problems, methods and measures
- (2010) Carlos Cruz et al. SOFT COMPUTING
- RM-MEDA: A Regularity Model-Based Multiobjective Estimation of Distribution Algorithm
- (2008) Qingfu Zhang et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- A Competitive-Cooperative Coevolutionary Paradigm for Dynamic Multiobjective Optimization
- (2008) Chi-Keong Goh et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Multiobjective Optimization Problems With Complicated Pareto Sets, MOEA/D and NSGA-II
- (2008) Hui Li et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
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