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Fuel and exhaust gas emission is one of the main causes of environmental pollution due to transportation. In the logistics distribution network, considering customer satisfaction and three-dimensional container loading restraint and energy consumption, a multiobjection optimization model of vehicle routing is constructed in this paper, which is complex NP-Hard problem. A novel hybrid particle swarm...
A novel Quantum-behaved Particle Swarm Optimization algorithm with probability (P-QPSO) is introduced to improve the global convergence property of QPSO. In the proposed algorithm, all the particles keep the original evolution with large probability, and do not update the position of particles with small probability, and re-initialize the position of particles with small probability. Seven benchmark...
There are various types of grey information in distribution network of supply chain, which are helpful to improve practical usefulness of distribution. In this paper, grey demands existed in supply chain have been discussed, and an optimization model of distribution network with grey demands is proposed. The model is NP-hard, and a hybrid particle swarm optimization algorithm based on grey chance-constrained...
Many practical applications are dynamic over time, which require optimization algorithms not only to converge to optimum as soon as possible but also to track the changing optimum. In this paper, a Cooperative Dual-swarm PSO (CDPSO) is proposed to deal with dynamic optimization problems. CDPSO adopts dual-swarm structure to keep swarm diversity and track the changing optimum. Fractional Global Best...
Material requirement planning (MRP) is a popular approach used in production processes for planning. Many forms of uncertainly in practice affect the production process and different approaches have been presented for MRP with uncertainty. In order to model MRP problem under fuzzy uncertainly, we present a fuzzy programming model with recourse based on credibility theory. We consider fuzzy variables...
Most existing evolutionary algorithms are only effective for optimization problems with no more than one hundred decision variables. However, many optimization problems involve more than several hundreds decision variables, even one thousand. To deal with these problems, a fast cooperative coevolutionary particle swarm optimizer (FCPSO) is proposed, which is constructed based on cooperative coevolutionary...
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