Handling the balance of operators in evolutionary algorithms through a weighted Hill Climbing approach.
Erick Rodríguez-EsparzaBernardo Morales-CastañedaÁngel Casas-OrdazDiego OlivaMario A. NavarroArturo ValdiviaEssam H. HousseinPublished in: Knowl. Based Syst. (2024)
Keyphrases
- hill climbing
- evolutionary algorithm
- simulated annealing
- multi objective
- evolutionary computation
- genetic algorithm ga
- optimization problems
- search space
- tabu search
- search algorithm
- multi objective optimization
- differential evolution
- direct search
- genetic algorithm
- fitness function
- genetic programming
- max min
- systematic search
- search procedure
- metaheuristic
- hill climbing algorithm
- path finding
- beam search
- search strategy
- solution space
- evolvable hardware
- evolution strategy
- greedy search
- steepest ascent
- differential evolution algorithm
- rule learning
- mutation operator
- heuristic function
- morphological operators
- hybrid algorithm
- evolutionary process
- evolutionary search
- branching factor
- nsga ii
- linear programming