A novel particle swarm optimization algorithm with adaptive inertia weight

Kennedy, 1995, Particle swarm optimization, 1942

Shi, 2001, Fuzzy adaptive particle swarm optimization

Rechenberg, 1973

Kirkpatrick, 1983, Optimization by simulated annealing, Science, 220, 671, 10.1126/science.220.4598.671

Shi, 1998, A modified particle swarm optimizer, 69

Li, 2004, Adaptively choosing neighborhood bests using species in a particle swarm optimizer for multimodal function optimization

Nickabadi, 2008, DNPSO: a dynamic niching particle swarm optimizer for multi-modal optimization

Nickabadi, 2008, Evaluating the performance of DNPSO in dynamic environments

Liang, 2006, Comprehensive learning particle swarm optimizer for global optimization of multimodal functions, 281

Bergh, 2004, A cooperative approach to particle swarm optimization, 225

Poli, 2007, Particle swarm optimization, an overview, Swarm Intelligence, 1, 33, 10.1007/s11721-007-0002-0

Shi, 1998, Parameter selection in particle swarm optimization

Eberhart, 2001, Tracking and optimizing dynamic systems with particle swarms

Eberhart, 2000, Comparing inertia weights and constriction factors in particle swarm optimization, 84

Shi, 1999, Empirical study of particle swarm optimization

Shi, 2000, Experimental study of particle swarm optimization

Chatterjee, 2006, Nonlinear inertia weight variation for dynamic adaption in particle swarm optimization, Computer and Operations Research, 33, 859, 10.1016/j.cor.2004.08.012

Feng, 2007, Chaotic inertia weight in particle swarm optimization, 475

Feng, 2007, Comparing with chaotic inertia weights in particle swarm optimization, 329

Lei, 2006, A new adaptive well-chosen inertia weight strategy to automatically harmonize global and local search ability in particle swarm optimization

Fan, 2007, A decreasing inertia weight particle swarm optimizer, Engineering Optimization, 39, 203, 10.1080/03052150601047362

Zheng, 2003, Empirical study of particle swarm optimizer with an increasing inertia weight

Zheng, 2003, On the convergence analysis and parameter selection in particle swarm optimization

Jiao, 2008, A dynamic inertia weight particle swarm optimization algorithm, Chaos, Solitons & Fractals, 37, 698, 10.1016/j.chaos.2006.09.063

Saber, 2006, Okinawa unit commitment computation—a novel fuzzy adaptive particle swarm optimization approach, 1820

Yang, 2007, A modified particle swarm optimizer with dynamic adaptation”, Applied Mathematics and Computation, 189, 1205, 10.1016/j.amc.2006.12.045

Arumugam, 2008, On the improved performances of the particle swarm optimization algorithms with adaptive parameters, cross-over operators and root mean square (RMS) variants for computing optimal control of a class of hybrid systems, Applied Soft Computing, 324, 10.1016/j.asoc.2007.01.010

Panigrahi, 2008, Adaptive particle swarm optimization approach for static and dynamic economic load dispatch, Energy Conversion and Management, 49, 1407, 10.1016/j.enconman.2007.12.023

F.V.D. Bergh, An analysis of particle swarm optimizers, PhD, University of Pretoria, 2001.

Beyer, 2002, vol. 1, 3

Branke, 1999, Memory enhanced evolutionary algorithms for changing optimization problems, Congress on Evolutionary Computation, 1875

Mendes, 2004, The fully informed particle swarm: simpler, maybe better, IEEE Transactions on Evolutionary Computation, 8, 204, 10.1109/TEVC.2004.826074

Oca, 2009, Frankenstein's pso: a composite particle swarm optimization algorithm, IEEE Transactions on Evolutionary Computation, 13, 1120, 10.1109/TEVC.2009.2021465

Sandgren, 1990, Nonlinear integer and discrete programming in mechanical design optimization, ASME, 112, 223, 10.1115/1.2912596

Wu, 1995, Genetic algorithms for nonlinear mixed discrete-integer optimization problems via metagenetic parameter optimization, Engineering Optimization, 24, 137, 10.1080/03052159508941187

Lee, 2004, A new meta-heuristic algorithm for continuous engineering optimization: harmony search theory and practice, Computer Methods in Applied Mechanics and Engineering, 194, 3902, 10.1016/j.cma.2004.09.007

Omran, 2010, CODEQ: an effective metaheuristic for continuous global optimisation, International Journal of Metaheuristics, 1, 108, 10.1504/IJMHEUR.2010.034202

Qin, 2006, Adaptive inertia weight particle swarm optimization, 450

Suresh, 2008, Inertia-adaptive particle swarm optimizer for improved global search