Study on Chaotic Particle Swarm Optimization Algorithm in Solution of Logistics Scheduling Problem
2013 ◽
Vol 798-799
◽
pp. 720-727
Keyword(s):
Study the basic theory and process of chaos particle swarm optimization (PSO) algorithm, improve the basic PSO algorithm by introducing the self-adaptive inertia weighting factor method. Construct the mathematical model of basic logistics scheduling to complete the simulation analysis experiments. Experiment results show that self-adaptive chaos particle swarm optimization algorithm is effective and feasible to solve the logistics scheduling model problem.
2010 ◽
Vol 29
(12)
◽
pp. 3273-3276
2012 ◽
Vol 182-183
◽
pp. 1953-1957
Underwater Wireless Sensor Network Deployment Based on Chaotic Particle Swarm Optimization Algorithm
2015 ◽
Vol 11
(1)
◽
pp. 25
2019 ◽
Vol 686
◽
pp. 012008
2010 ◽
Vol 51
(12)
◽
pp. 2893-2900
◽