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In order to propose a novel discrete differential evolution algorithm for stochastic vehicle routing problems (SVRP), the two bit wise operators of the computer language are introduced. In the algorithm, the individuals are represented as natural numbers, and new mutation and revised operators are developed for this representation. Computational simulations and comparisons based on Benchmark Problem...
Aiming at the stochastic vehicle routing problems with uncertain demand and travel time and with simultaneous pickups and deliveries, a stochastic programming model is formulated and an improved genetic algorithm is proposed for routes optimization. Self-adaptive mechanism is introduced for amending the fitness value to overcome the premature convergence effectively and to improve the efficiency of...
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