Evolutionary algorithms for a three-objectives oil derivatives network problem

CATEGORY: GENETIC ALGORITHMS
2013 IEEE Congress on Evolutionary Computation (CEC), 20-23 June 2013, Page(s): 932 – 938, Cancun, Digital Object Identifier :10.1109/CEC.2013.6557667
Evolutionary algorithms for a three-objectives oil derivatives network problem
de Souza, T.C.N. ; Goldbarg, E.F.G. ; Goldbarg, M.C.
Dept. of Inf. & Appl. Math., Fed. Univ. of Rio Grande do Norte, Natal, Brazil
Abstract
Distribution of oil derivatives by multi-product pipelines is a challenge. One approach is to treat it as a discrete problem where batches of products flow in a network. The usual objective is to minimize delivery time when scheduling products in pipeline networks. Other costs, however, should be considered, as well.  These include losses due to interfaces and electrical energy. Losses due to interfaces occur when different products sent consecutively contaminate each other.
Typically, no separation devices exist between batches of different products and losses due to interface can be significant. Because the cost of electric energy varies during the day, it is important to minimize this cost. Authors address three minimization objectives simultaneously, i.e., delivery time at demand nodes, interface losses and electrical energy cost. They present a transgenetic algorithm and apply it to thirty random instances. Results are compared with those produced by an NSGAII algorithm.
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