[PDF] Top 20 Improved Quantum Behaved Particle Swarm Optimization

... the optimization ability of QPSO by integrating quantum computation, we propose an improved quantum-behaved particle swarm optimization ...each particle has ... See full document

... an improved memetic algorithm based on improved particle swarm optimization as the global search and simulated annealing algorithm as the local search has been ...the particle ... See full document

... a swarm of particles may flow through the parameter space defining trajectories which are driven by their own and neighbors' best performances ...searching particle are thus to be studied in ... See full document

... Particle swarm optimization (PSO) is a population based stochastic optimization technique developed by Eberhart and Kennedy in 1995 ...other optimization algorithm is its relative ... See full document

... A novel improved PSO algorithm is proposed in this paper. Our main contribution is the modification of the parameters update rule and the heuristic variable neighborhood search strategies of particle ... See full document

... in particle update and imports the chaos optimization search, number of chaotic sequence are produced randomly and can get the location and the current particle optimal position, if it is better than ... See full document

... a swarm of individuals that operate among a ...a swarm, atomic work element of the Natural Computing ...widely improved by applying Natural Computing, where Genetic Algorithms, Ant Colony ... See full document

... GA deficiencies such as similarity in structure of chromosomes (Kennedy et al., 1995; Gaing, 2004) is improved, using a novel global search strategy, called Particle Swarm Optimization (PSO) ... See full document

... each particle is derived from itself and the whole group. The particle can rapidly move to the global optimum and the local optimal in the iterative ...the particle swarm optimization ... See full document

... adaptive Particle Swarm Optimization-Back-propagation (PSO-BP) learning [13], improved swarm optimized FLANN (ISO-FLANN) Dehuri, et ... See full document

... an improved multi-objective particle swarm optimization algorithm (IMOPSO) to efficiently solve multi-objective discrete optimization ... See full document

... the particle goes through three hundred times iterations in each ...is improved, the iteration count is reset to give the particle enough opportunities to find a better ... See full document

... Pham, D. T., & Castellani, M. (2009). The Bees Algorithm: modelling foraging behaviour to solve continuous optimization problems. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of ... See full document

... The presented weight improved PSO algorithm has been applied to the CEED problem in this paper. The performance of the WIPSO strategy has been compared to the standard PSO strategy using two different generating ... See full document

... The remainder of the paper is organized as follows. Section 2 provides a general description of IoT node localization using standard PSO. An improved approach and its mathematical model are explained in Section 3. ... See full document

... of swarm, boundary conditions were ...whenever particle transfers out to search space, velocity component‘s sign is reversed back and reflected to the search ...where particle converses with the K ... See full document

... In consideration of the characteristics of PSO which is strong in global searching ability and poor in local searching ability and that of BP algorithm which is poor in global searching ability and strong in local ... See full document

... With the help of this approach we can minimize the fuel cost at same time we have to maintain the voltage stability and system stability also In this study, a novel PSO with passive congregation (PSOPC) extended from the ... See full document

... rules, Particle Swarm Optimization (PSO) algorithm is projected, which gives feasible threshold values for minimum support and ...each particle and then finds their corresponding support and ... See full document

... agents. Swarm [8] apparently is a disorganized collection / population of moving individual that tends to cluster together while each individual seems to be moving in random ...directions. Swarm ... See full document