A Dynamic Multi-Method Evolutionary Algorithm for Multi-Objective Optimization with Learning Strategy

Multi-Objective evolutionary algorithms (MOEAs) are popular for solving complex optimization problems with multiple objectives and they have gained much success in benchmark competitions as well as real-world applications. Most MOEAs are effective for specific types of problems, leading to a lack of... View More