Abstract
Aims: In this paper, we propose an enhanced artificial bee colony (ABC) algorithm for the job shop scheduling problem.
Background: Meta-heuristic approaches are widely applied to solve job shop scheduling problem and find the near optimal solutions in polynomial time.
Objective: Improving performance of ABC algorithm to solve job shop scheduling problem. Methods: Using local search heuristics in ABC algorithm.
Results: The experimental results showed that the proposed algorithm improves the efficiency.
Conclusion: Proposed algorithm improves efficiency.
Keywords: Job shop scheduling problem, artificial bee colony algorithm, local search heuristic, neighborhood search mechanism, scheduling, machine.
Graphical Abstract
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