Evolutionary Computation 2020


English[eng]

9783040000000


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