摘要
In this paper,an intelligent constraint programming system for manufacturing material resource planning (MMRP) was presented.It is aimed to tackling large,particularly combinatorial,problems during the MMRP process,which increasingly involves complex sets of objectives and constraints in today’s industrial manufacturing.The system consists of a do- main-specific architecture,an algorithm library,and a pre-defined solution library,based on which intelligent agents can effi- ciently construct MMRP problem specifications,select suitable algorithms to solve problems,and evolve a population of solutions to- wards a Pareto-optimal frontier.Our system significantly improves the efficiency,effectiveness,and reliability of MMRP prob- lem solving.
In this paper,an intelligent constraint programming system for manufacturing material resource planning (MMRP) was presented.It is aimed to tackling large,particularly combinatorial,problems during the MMRP process,which increasingly involves complex sets of objectives and constraints in today's industrial manufacturing.The system consists of a do- main-specific architecture,an algorithm library,and a pre-defined solution library,based on which intelligent agents can effi- ciently construct MMRP problem specifications,select suitable algorithms to solve problems,and evolve a population of solutions to- wards a Pareto-optimal frontier.Our system significantly improves the efficiency,effectiveness,and reliability of MMRP prob- lem solving.
出处
《武汉理工大学学报》
CAS
CSCD
北大核心
2006年第S2期668-672,共5页
Journal of Wuhan University of Technology
基金
Founded by the Natural Science Foundation of China(50235030 and 60573080)
