Hybridizing evolutionary algorithms with opportunistic local search.
Christian GießenPublished in: GECCO (2013)
Keyphrases
- evolutionary algorithm
- evolutionary search
- simulated annealing
- constrained multi objective optimization problems
- genetic algorithm
- multi objective
- optimization problems
- evolutionary computation
- differential evolution
- fitness function
- search heuristics
- global search
- memetic algorithm
- tabu search
- search strategies
- genetic programming
- search algorithm
- multi objective optimization
- combinatorial optimization
- search space
- crossover operator
- differential evolution algorithm
- nsga ii
- metaheuristic
- genetic operators
- optimal solution
- harmony search
- optimization method
- explore the search space
- neighborhood search
- population diversity
- island model
- systematic search
- evolution strategy
- multiobjective optimization
- search procedure
- stochastic local search
- mutation operator
- benchmark problems
- constrained optimization problems
- mobile peer to peer networks
- multidisciplinary design optimization
- hybrid ga
- evolvable hardware
- hybrid algorithm
- hyper heuristics
- solution quality
- initial population
- hill climbing
- job shop scheduling problem