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We describe a kind of supply chain optimization problem as a commodity stream routing problem upon a stochastic flow network. We divide the optimization problem to two parts: Firstly, establish model to calculate the optimal commodity stream allocation policy on all minimal paths; secondly, convert these allocation policy on all minimal paths to the optimal routing policy on all arcs. A multi-objective...
Assuming SAW filter structure parameters as chromosome genes, multi-objective simultaneous optimization on SAW filter pass-band insertion loss, pass-band ripple and band rejection performance parameters et al., was conducted by using the parallel selection algorithm based on genetic algorithm and evolutionary strategy which is often used in simulting biological in natural environment and evolutionary...
On account of route optimization of bus dispatching, it is proposed to use genetic ant algorithm (GAA) for solution. A mathematic model for multi-objective bus route optimization and selection under limited conditions is developed, introducing the evolutionary process of genetic variation to improve the optimization of ant colony algorithm and also the optimal decision updating and identification...
This work aimed to optimize a hybrid tubular linear stepping motor characteristics. The global optimization problem formulation had take account thermal, mechanical and magnetic constraints in order to minimize the weight and losses of the machine. The contribution of the machine weight and losses minimization is principally a cost decrease and a clutter reduction that permits its integration in small...
Architecting systems designed to elicit group-level behavior beyond the capability of any single agent, however, demands a labor and experimentation-intensive cycle on the part of the programmer. As part of a system to evolve swarm behaviors, we have developed a mixed radix fitness function to overcome the problems encountered with typical fitness functions when used in a multi-objective optimization...
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