Genetic Algorithms (GA) and Particle Swarm Optimization (PSO) are investigated to obtain the optimal solutions. Two site …

rules by using particle swarm optimization (PSO) algorithm. The Yellow River upstream multi-reservoir system is demonstrated …

design an improved particle swarm optimization (PSO) algorithm because traditional optimization algorithms fail to work …

A particle-swarm optimization method with nonlinear time-varying evolution (PSO–NTVE) is employed in determining the …

multidimensional particles. The framework of the combined scheme-based multi-objective particle swarm optimization (CSMOPSO) is … activity methods with the objectives of minimizing project duration and total cost. A multi-objective particle swarm … optimization that adopts a combined scheme for determining the global best of each particle is presented for solving the TCT …

1. Introduction -- 2. Particle swarm optimization -- 3. Theoretical derivations and application issues -- 4 …. Established and recently proposed variants of particle swarm optimization -- 5. Performance-enhancing techniques -- 6 …

swarm optimization algorithm, called GLN-PSOc, which is an extension of the standard particle swarm optimization algorithm …-shop scheduling problems with multi-purpose machines or MPMJSP. To meet its objective, this paper proposes a new variant of particle …

and help to explore the undiscovered search place. Quantum-behaved particle swarm optimization (QPSO), which is inspired …

practical consideration. The proposed algorithm is based on the combination of Nelder–Mead simplex search and Particle Swarm … Optimization (PSO) algorithms, called PSO-NM. The proposed algorithm can estimate load and RES output values by Weighted Least …