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M-machine no-wait flow shop (NWFSS) problem is a NP-complete problem, and a novel approach to solve this type problem is presented in this paper. A continuous flow shop problem with total flow time as criterion is considered. This paper extends the artificial immune system (AIS) approach by proposing a new methodology termed as Psycho-Clonal algorithm. Proposed algorithm enjoys the flavours of AIS...
A novel Pareto-based multi-objective fully-informed particle swarm algorithm (FIPS) is proposed to solve flexible job-shop problems in this paper. Firstly, the population is ranked based on Pareto optimal concept. And the neighborhood topology used in FIPS is based on the Pareto rank. Secondly, the crowding distance of individuals is computed in the same Pareto level for the secondary rank. Thirdly,...
This paper presents an improved particle swarm optimization(PSO) algorithm to solve the multi-objective flexible job-shop scheduling problem, which integrates the global search ability of PSO and the superiority of escaping from a local optimum with chaos. Firstly, the parameters of PSO are self-adaptively adjusted to balance the exploration and the exploitation abilities efficiently. Secondly, during...
A CAPP/PPC scheduling integration model is proposed based on the decentralized decision-making architecture of the Mediator in this paper and it can be used to solve the problem of the dynamic scheduling in practical production. Mediator technology and contract net are effectively combined in this model so that mediator can be used to carry out management and control in process plan and production...
It is difficult to predict the completion time of a set of jobs in batch process industries, because jobs interact at the shop floor. Five interaction variables are defined and an indication of their influence on the completion time is experimentally investigated, and there have been no appropriate rules to determine these variables. This paper combines the back-propagation network model and genetic...
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