Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Evolution based learning in a job shop scheduling environment
Computers and Operations Research - Special issue on genetic algorithms
A genetic algorithm for multi-level, multi-machine lot sizing and scheduling
Computers and Operations Research
An evolutionary linear programming algorithm for solving the stock reduction problem
International Journal of Computer Applications in Technology
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A hybrid genetic algorithm helps solve the pulp distribution problem at a large Scandinavian pulp producer by finding ship schedules and optimal pulp deliveries that minimize distribution costs. It uses two linear programming models. One optimizes all transport flows for a given schedule; the other approximates a schedule's performance and selects the fittest one. The authors performed computational experiments using real-world data instances and compare the results with a mixed-integer-programming approach.This article is part of a special issue on advanced heuristics in transportation and logistics.