Multi-method based orthogonal experimental design algorithm for solving CEC2017 competition problems

Keyphrases

• Evolutionary Algorithms 100%
• Algorithm Design 100%
• Multi-method 100%
• CEC 2017 100%
• Orthogonal Experimental Design 100%
• Single Framework 50%
• Mutation Strategy 25%
• Optimization Problem 25%
• Factor Analysis 25%
• Design Analysis 25%
• Experimental Factors 25%
• Search Ability 25%
• Multi-operator 25%
• Covariance Matrix Adaptation Evolution Strategy (CMA-ES) 25%
• Differential Evolution Algorithm 25%
• Crossover Operator 25%
• Parameter Adaptation Strategy 25%
• Control Parameter Adaptation 25%
• Strategy Control 25%

Computer Science

• Design Experiment 100%
• Evolutionary Algorithm 100%
• Algorithm Design 100%
• Optimization Problem 25%
• Covariance Matrix 25%
• differential evolution algorithm 25%
• Evolution Strategy 25%
• crossover operator 25%
• Control Parameter 25%
• Adaptation Strategy 25%

Engineering

• Design of Experiments 100%
• Covariance Matrix 50%
• Adaptation Strategy 50%
• Solving Optimization Problem 50%
• Control Parameter 50%
• Array Comparative Genomic Hybridization 50%