Hybrid genetic algorithms using quadratic local search operators

Keyphrases

• Hybrid Genetic Algorithm 100%
• Local Search Operator 100%
• Analytical Problems 50%
• Optimization Problem 33%
• Convergence Rate 33%
• Local Search 33%
• Number of Function Evaluations 33%
• Design Methodology 16%
• Search Problems 16%
• Proposed Methodology 16%
• Fast Algorithm 16%
• CPU Time 16%
• Benchmark Problems 16%
• Robust Algorithm 16%
• Constraint Function 16%
• Local Quadratic Approximation 16%
• Computational Electromagnetics 16%
• Simple Genetic Algorithm 16%
• Practical Optimization 16%
• Linear Matrix Inequality 16%
• Electromagnetic Optimization 16%

Engineering

• Genetic Algorithm 100%
• Local Search 100%
• Optimisation Problem 28%
• Convergence Speed 28%
• Function Evaluation 28%
• Illustrates 14%
• Limitations 14%
• Objective Function 14%
• Benchmark Problem 14%
• Final Result 14%
• Constraint Function 14%

Computer Science

• hybrid genetic algorithm 100%
• Approximation (Algorithm) 33%
• Optimization Problem 33%
• Function Evaluation 33%
• Convergence Speed 33%
• Practical Implication 16%
• Genetic Algorithm 16%
• Benchmark Problem 16%
• Local Search Phase 16%
• linear matrix 16%