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Information Seminar Paper

Title

ANT COLONY ALGORITHM FOR THE JOB SHOP SCHEDULING PROBLEM

Pages

  -

Abstract

 THIS PAPER PRESENTS AN ANT COLONY ALGORITHM FOR SOLVING THE WELL-KNOWN JOB SHOP SCHEDULING PROBLEM WHICH IS A TYPICAL NP-HARD PROBLEM. IN ORDER TO INITIALIZE THE PHEROMONE TRAILS, A NOVEL MECHANISM IS EMPLOYED BASED ON AN INITIAL SEQUENCE. MOREOVER, THE PHEROMONE TRAIL INTENSITIES ARE LIMITED BETWEEN LOWER AND UPPER BOUNDS DYNAMICALLY MODIFIED. AN ARTIFICIAL ANT CONSTRUCTS A COMPLETE SOLUTION BY ITERATIVELY APPLYING A PSEUDO-STOCHASTIC RULE BASED ON THE PHEROMONE TRAILS. A LOCAL SEARCH IS THEN PERFORMED TO IMPROVE THE PERFORMANCE QUALITY OF THE SOLUTION. THE COMPUTER SIMULATIONS WERE MADE ON A SET OF BENCHMARK PROBLEMS AND THE RESULTS DEMONSTRATED THE EFFECTIVENESS OF THE PROPOSED ALGORITHM.

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    • Cite

    APA: Copy

    Nazif, Habibeh. (2015). ANT COLONY ALGORITHM FOR THE JOB SHOP SCHEDULING PROBLEM. INTERNATIONAL CONFERENCE OF IRANIAN OPERATIONS RESEARCH SOCIETY. SID. https://sid.ir/paper/920630/en

    Vancouver: Copy

    Nazif Habibeh. ANT COLONY ALGORITHM FOR THE JOB SHOP SCHEDULING PROBLEM. 2015. Available from: https://sid.ir/paper/920630/en

    IEEE: Copy

    Habibeh Nazif, “ANT COLONY ALGORITHM FOR THE JOB SHOP SCHEDULING PROBLEM,” presented at the INTERNATIONAL CONFERENCE OF IRANIAN OPERATIONS RESEARCH SOCIETY. 2015, [Online]. Available: https://sid.ir/paper/920630/en

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