A new hybrid localization approach in wireless sensor networks based on particle swarm optimization and tabu search.
Elie Tagne FuteDoris-Khöler Nyabeye PangopEmmanuel TonyéPublished in: Appl. Intell. (2023)
Keyphrases
- tabu search
- particle swarm optimization
- wireless sensor networks
- metaheuristic
- pso algorithm
- genetic algorithm
- simulated annealing
- feasible solution
- ant colony optimization
- memetic algorithm
- hybrid algorithm
- multi objective
- energy consumption
- vehicle routing problem
- sensor networks
- path relinking
- job shop scheduling problem
- test problems
- search algorithm
- benchmark instances
- global optimization
- scheduling problem
- search procedure
- particle swarm optimization pso
- sensor nodes
- quadratic assignment problem
- combinatorial optimization problems
- iterated local search
- heuristic methods
- initial solution
- scatter search
- tabu search algorithm
- routing algorithm
- flowshop
- resource constrained
- multi start
- differential evolution
- routing protocol
- tabu list
- multidimensional knapsack problem
- combinatorial optimization
- starting point
- special case
- variable neighborhood search
- candidate list
- neural network
- search heuristics
- evolutionary strategy
- single machine
- optimization method
- optimization problems