A discrete version of particle swarm optimization for flowshop scheduling problems
Computers and Operations Research
Molecular docking with multi-objective Particle Swarm Optimization
Applied Soft Computing
Design optimization of wastewater collection networks by PSO
Computers & Mathematics with Applications
An efficient hybrid approach based on PSO, ACO and k-means for cluster analysis
Applied Soft Computing
Solution of nonconvex and nonsmooth economic dispatch by a new Adaptive Real Coded Genetic Algorithm
Expert Systems with Applications: An International Journal
Parameter control in evolutionary algorithms
IEEE Transactions on Evolutionary Computation
Evolutionary programming techniques for economic load dispatch
IEEE Transactions on Evolutionary Computation
Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients
IEEE Transactions on Evolutionary Computation
Optimal power flow solution using improved harmony search method
Applied Soft Computing
Expert Systems with Applications: An International Journal
Hi-index | 0.00 |
Economic dispatch (ED) problem is a nonlinear and non-smooth optimization problem when valve-point effects, multi-fuel effects and prohibited operating zones (POZs) have been considered. This paper presents an efficient evolutionary method for a constrained ED problem using the new adaptive particle swarm optimization (NAPSO) algorithm. The original PSO has difficulties in premature convergence, performance and the diversity loss in optimization process as well as appropriate tuning of its parameters. In the proposed algorithm, to improve the global searching capability and prevent the convergence to local minima, a new mutation is integrated with adaptive particle swarm optimization (APSO). In APSO, the inertia weight is tuned by using fuzzy IF/THEN rules and the cognitive and the social parameters are self-adaptively adjusted. The proposed NAPSO algorithm is validated on test systems consisting of 6, 10, 15, 40 and 80 generators with the objective functions possessing prohibited zones, multi-fuel effects and valve-point loading effects. The research results reveal the effectiveness and applicability of the proposed algorithm to the practical ED problem.