Incremental cooperative coevolution for large-scale global optimization

Metaheuristics in large-scale global continues optimization: A survey

(2015) Sedigheh Mahdavi et al.   INFORMATION SCIENCES

Two-stage based ensemble optimization framework for large-scale global optimization

(2013) Yu Wang et al.   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

Cooperative Co-Evolution With Differential Grouping for Large Scale Optimization

(2013) Mohammad Nabi Omidvar et al.   IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION

Parallel differential evolution with self-adapting control parameters and generalized opposition-based learning for solving high-dimensional optimization problems

(2012) Hui Wang et al.   JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING

Cooperatively Coevolving Particle Swarms for Large Scale Optimization

(2011) Xiaodong Li et al.   IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION

A cooperative particle swarm optimizer with statistical variable interdependence learning

(2011) Liang Sun et al.   INFORMATION SCIENCES

Metamodeling for High Dimensional Simulation-Based Design Problems

(2010) Songqing Shan et al.   JOURNAL OF MECHANICAL DESIGN

Self-adaptive differential evolution with multi-trajectory search for large-scale optimization

(2010) Shi-Zheng Zhao et al.   SOFT COMPUTING

A study on the use of statistical tests for experimentation with neural networks: Analysis of parametric test conditions and non-parametric tests

(2008) Julián Luengo et al.   EXPERT SYSTEMS WITH APPLICATIONS

Large scale evolutionary optimization using cooperative coevolution

(2008) Zhenyu Yang et al.   INFORMATION SCIENCES

A study on the use of non-parametric tests for analyzing the evolutionary algorithms’ behaviour: a case study on the CEC’2005 Special Session on Real Parameter Optimization

(2008) Salvador García et al.   JOURNAL OF HEURISTICS

A study of statistical techniques and performance measures for genetics-based machine learning: accuracy and interpretability

(2008) S. García et al.   SOFT COMPUTING