Multi-objective optimization method using an improved NSGA-II algorithm for oil–gas production process
Journal of the Taiwan Institute of Chemical Engineers(2015)
摘要
•A multi-objective optimization model is proposed with maximizing overall oil production, minimizing overall water production and comprehensive energy consumption.•An improved fast elitist non-dominated sorting genetic algorithm II (I-NSGA-II) is proposed.•A new hybrid chaotic mapping model is established for population initialization.•Hybrid operator is proposed to produce a new generation of population.•Substitution operation of chaotic population candidate is used to select the new population.•Actual production process of an oil production operation area is taken as background for simulation study.
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关键词
Oil–gas production process,Multi-objective optimization,NSGA-II,Hybrid chaotic map model,Substitution operation,I-NSGA-II
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