Benchmarking Multi- and Many-Objective Evolutionary Algorithms Under Two Optimization Scenarios.
Ryoji TanabeHisao IshibuchiAkira OyamaPublished in: IEEE Access (2017)
Keyphrases
- evolutionary algorithm
- optimization problems
- multi objective
- evolution strategy
- multiple objectives
- optimization method
- differential evolution
- evolutionary computation
- function optimization
- optimization algorithm
- multi objective evolutionary algorithms
- multi objective optimization
- evolutionary strategy
- conflicting objectives
- simulated annealing
- evolutionary search
- fitness function
- genetic algorithm
- particle swarm
- knapsack problem
- optimization strategies
- constrained optimization
- combinatorial optimization
- evolutionary process
- bi level
- genetic operators
- estimation of distribution algorithms
- optimization methods
- differential evolution algorithm
- constrained optimization problems
- database
- discrete optimization
- nsga ii
- dynamic optimization
- test functions
- initial population
- optimization model
- crossover operator
- test problems
- particle swarm optimization
- case study
- real world
- neural network