A bi-population Genetic algorithm based on multi-objective optimization for a relocation scheme with target coverage constraints in mobile wireless sensor networks.
La Van QuanNguyen Thi HanhHuynh Thi Thanh BinhVu Duc ToanDang The NgocBui Thu LamPublished in: Expert Syst. Appl. (2023)
Keyphrases
- multi objective optimization
- wireless sensor networks
- multi objective
- evolutionary algorithm
- pareto optimal set
- crossover and mutation
- multi objective evolutionary algorithms
- mobile nodes
- pareto optimal
- genetic algorithm
- pareto optimal solutions
- estimation of distribution algorithms
- nsga ii
- differential evolution
- multi objective optimization problems
- multiple objectives
- multi objective genetic algorithm
- sensor networks
- mutation operator
- constraint satisfaction
- routing algorithm
- business intelligence
- base station
- multiobjective optimization
- bi objective
- optimization algorithm
- pareto dominance
- complex optimization problems
- constrained optimization
- mobile networks
- mobile users
- evolutionary computation
- routing protocol
- genetic programming
- computational intelligence
- mobile devices
- multi objective genetic algorithms
- objective function