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We present a new mechanism to introduce diversity to a multiobjective algorithm based on ant colony optimization to solve a more realistic extension of a classical industrial problem: time and space assembly line balancing. Promising results are shown after applying the designed multiobjective ant colony optimization algorithm to ten real-like problem instances.
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