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Hybridizing surrogate techniques, rough sets and evolutionary algorithms to efficiently solve multi-objective optimization problems., , и . GECCO, стр. 763-764. ACM, (2008)Cross entropy for multiobjective combinatorial optimization problems with linear relaxations., , , и . Eur. J. Oper. Res., 243 (2): 362-368 (2015)On the Use of Projected Gradients for Constrained Multiobjective Optimization Problems., , , , , и . PPSN, том 5199 из Lecture Notes in Computer Science, стр. 712-721. Springer, (2008)Surrogate-based Multi-Objective Particle Swarm Optimization., , , и . SIS, стр. 1-8. IEEE, (2008)A discrete-time single-server queueing system with an N-policy, an early setup and a generalization of the Bernoulli feedback., и . Math. Comput. Model., 49 (5-6): 977-990 (2009)DEMORS: A hybrid multi-objective optimization algorithm using differential evolution and rough set theory for constrained problems., , , , и . Comput. Oper. Res., 37 (3): 470-480 (2010)A multi-start algorithm for a balanced real-world Open Vehicle Routing Problem., , , , и . Eur. J. Oper. Res., 238 (1): 104-113 (2014)Using a Gradient Based Method to Seed an EMO Algorithm., , , , и . MCDM, том 634 из Lecture notes in economics and mathematical systems, стр. 327-337. Springer, (2008)A new proposal for multi-objective optimization using differential evolution and rough sets theory., , , , и . GECCO, стр. 675-682. ACM, (2006)Analysis and optimal control of a discrete-time queueing system under the (m, N)-policy., и . VALUETOOLS, том 180 из ACM International Conference Proceeding Series, стр. 16. ACM, (2006)