An Iterated Greedy Algorithm with Memory and Learning Mechanisms for the Distributed Permutation Flow Shop Scheduling Problem
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Abstract
The distributed permutation flow shop scheduling problem (DPFSP) has received increasing attention in recent years. The iterated greedy algorithm (IGA) serves as a powerful optimizer for addressing such a problem because of i... | Find, read and cite all the research you need on Tech Science Press
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OpenAlex topics: Scheduling and Optimization Algorithms · Advanced Manufacturing and Logistics Optimization
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