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Artificial Immune System for Solving Global Optimization Problems.

, , and . Inteligencia Artif., 14 (46): 3-16 (2010)

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A Quasi-Optimal Cluster Allocation Strategy for Parallel Program Execution in Distributed Systems Using Genetic Algorithms., , and . ACM SIGOPS Oper. Syst. Rev., 29 (2): 82-96 (1995)Hybrid Particle Swarm Optimizers in the Single Machine Scheduling Problem: An Experimental Study., , and . Evolutionary Scheduling, volume 49 of Studies in Computational Intelligence, Springer, (2007)Artificial Immune System for Solving Dynamic Constrained Optimization Problems., , and . Metaheuristics for Dynamic Optimization, volume 433 of Studies in Computational Intelligence, Springer, (2013)Particle Swarm Optimization in Non-stationary Environments., and . IBERAMIA, volume 3315 of Lecture Notes in Computer Science, page 757-766. Springer, (2004)Parameter Settings and Representations in Pareto-Based Optimization for Job Shop Scheduling., , and . Cybern. Syst., 33 (6): 559-578 (2002)A T-cell algorithm for solving dynamic optimization problems., , and . Inf. Sci., 181 (17): 3614-3637 (2011)Solving Engineering Optimization Problems with the Simple Constrained Particle Swarm Optimizer., , and . Informatica (Slovenia), 32 (3): 319-326 (2008)Multirecombinated Evolutionary Algorithms for the Flow Shop Scheduling Problem., , and . PPSN, volume 1917 of Lecture Notes in Computer Science, page 263-272. Springer, (2000)A Particle Swarm Optimizer for Constrained Numerical Optimization., , and . PPSN, volume 4193 of Lecture Notes in Computer Science, page 910-919. Springer, (2006)On the use of particle swarm optimization with multimodal functions., and . IEEE Congress on Evolutionary Computation, page 1130-1136. IEEE, (2003)