Evolutionary Computation 2020

• Other Authors: Wang, Gai-Ge (Editor), Alavi, Amir (Editor)
• Format: Electronic Book Chapter
• Language: English
• Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
• Subjects: Technology: general issues; global optimization; cuckoo search algorithm; Q-learning; mutation; self-adaptive step size; evolutionary computation; playtesting; game feature; game simulation; game trees; playtesting metric; validation; Pareto optimality; h-index; ranking; dominance; Pareto-front; multi-indicators; multi-metric; multi-resources; citation; universities ranking; swarm intelligence; simulated annealing; krill herd; particle swarm optimization; quantum; elephant herding optimization; engineering optimization; metaheuristic; constrained optimization; multi-objective optimization; single objective optimization; differential evolution; success-history; premature convergence; turning-based mutation; opposition-based learning; ant colony optimization; opposite path; traveling salesman problems; whale optimization algorithm; WOA; binary whale optimization algorithm; bWOA-S; bWOA-V; feature selection; classification; dimensionality reduction; menu planning problem; evolutionary algorithm; decomposition-based multi-objective optimisation; memetic algorithm; iterated local search; diversity preservation; single-objective optimization; knapsack problem; travelling salesman problem; seed schedule; many-objective optimization; fuzzing; bug detection; path discovery; evolutionary algorithms (EAs); coevolution; dynamic learning; performance indicators; magnetotelluric; one-dimensional inversions; geoelectric model; optimization problem; multi-task optimization; multi-task evolutionary computation; knowledge transfer; assortative mating; unified search space; quantum computing; grey wolf optimizer; 0-1 knapsack problem; green shop scheduling; fuzzy hybrid flow shop scheduling; discrete artificial bee colony algorithm; minimize makespan; minimize total energy consumption
• Online Access: DOAB: download the publication; DOAB: description of the publication

Intelligent optimization is based on the mechanism of computational intelligence to refine a suitable feature model, design an effective optimization algorithm, and then to obtain an optimal or satisfactory solution to a complex problem. Intelligent algorithms are key tools to ensure global optimiza...