2017
DOI: 10.1007/978-3-319-68505-2_37
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A Particle Swarm Optimization and Mutation Operator Based Node Deployment Strategy for WSNs

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“…Genetic algorithm (GA) simulates the natural evolutionary processes to search for the optimal solution [8][9][10][11][12]. Particle swarm optimization (PSO) derives from complex adaptive system (CAS) and finds the optimum by simulating the foraging behavior of birds [13][14][15][16][17][18][19][20]. Differential evolution (DE) is a random search algorithm based on group differences [21][22][23][24][25][26], and guides the finding direction through mutual cooperation and competition among individuals within the group.…”
Section: Introductionmentioning
confidence: 99%
“…Genetic algorithm (GA) simulates the natural evolutionary processes to search for the optimal solution [8][9][10][11][12]. Particle swarm optimization (PSO) derives from complex adaptive system (CAS) and finds the optimum by simulating the foraging behavior of birds [13][14][15][16][17][18][19][20]. Differential evolution (DE) is a random search algorithm based on group differences [21][22][23][24][25][26], and guides the finding direction through mutual cooperation and competition among individuals within the group.…”
Section: Introductionmentioning
confidence: 99%