GMAS-1DMCSP: GENETIC MULTI-AGENT SYSTEM FOR SOLVING ONE-DIMENSIONAL CUTTING STOCK PROBLEM WITH MULTIPLE STOCK SIZES

Phan Thị Hoài Phương, Lương Chi Mai

Abstract


SUMMARY

Multi-agent systems (MASs) as an emerging sub-field of  artificial intelligence concern with interaction of agents to solve a common problem. This paradigm has become more and more important in many aspects of computer science by introducing the issues of distributed intelligence and interaction. They represent a new way of analyzing, designing, and implementing complex software systems. This paper introduces a JADE-Based distributed Multi-agents system for solving One-Dimensional Cutting Stock Problem with Multiple Stock Sizes on the basis of the theoretical results presented in [1]. The system has effectively been operating in the industrial environment.




DOI: https://doi.org/10.15625/0866-708X/48/6/1207 Display counter: Abstract : 15 views. PDF (Tiếng Việt) : 34 views.

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Published by Vietnam Academy of Science and Technology