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Gamification of the Optimization Problem and Multi-point Type Optimization Methods.

, and . SMC, page 3516-3522. IEEE, (2013)

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Automatic Tuning for Model Predictive Control: Can Particle Swarm Optimization find a better parameter?, , , , , , and . ISIC, page 646-651. IEEE, (2007)A novel method for solving min-max problems by using a modified particle swarm optimization., , and . SMC, page 2113-2120. IEEE, (2011)Gamification of the Optimization Problem and Multi-point Type Optimization Methods., and . SMC, page 3516-3522. IEEE, (2013)An application of the continuous time replicator dynamic to economics., , and . Math. Comput. Simul., 59 (1-3): 105-113 (2002)The robustness of a Nash equilibrium simulation model: Game-theoretic approach using variable metric projection method., , and . Math. Comput. Simul., 81 (7): 1518-1526 (2011)A distributed model of the saccade system: simulations of temporally perturbed saccades using position and velocity feedback., , , and . Neural Networks, 12 (10): 1359-1375 (1999)Automatic core design using reinforcement learning., and . ACC, page 5784-5789. IEEE, (2004)Recurrent network expression and its property of replicator dynamics for optimization., and . SMC (4), page 3488-3493. IEEE, (2004)A New Framework with a Stability Theory for Multipoint-Type and Stochastic Meta-Heuristic Optimization Algorithms., and . IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 98-A (2): 700-709 (2015)Optimization algorithm using multi-agents and reinforcement learning., and . IEEE Congress on Evolutionary Computation, page 63-68. IEEE, (2004)