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Multi-objective optimization / Pareto efficiency / Constraint optimization / Constraint / Penalty method / Candidate solution / Simplex algorithm / Genetic algorithm / Mathematical optimization / Numerical analysis / Mathematical analysis


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Document Date: 2014-08-28 15:45:18

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File Size: 3,39 MB

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Bayer / Mead / Creative Commons / Intel / Hindawi Publishing Corporation / /

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Facility

Curtin University / Central South University / /

IndustryTerm

target solution / search process / consecutive solutions / derivative-free line-search method / satisfactory solution / crowded-comparison operator / infeasible solutions / boundary solutions / constraints processing approach / local search / steel ball filling rate / evolution algorithm / evolutionary algorithms / particular solution / mutation operators / search phases / multiobjective differential evolution algorithm / mineral processing quality / th solution / energy consumption / mineral processing plants / bauxite mineral processing / adaptive differential mutation operator / meaningful infeasible solutions / feasible solution / usual genetic algorithms / constrained multiobjective algorithm / energy-intensive process / mutation operator / search space / feasible and infeasible solutions / infeasible solution / /

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Windows XP Professional / /

Organization

Curtin University / China Department of Mathematics & Statistics / School of Information Science and Engineering / Central South University / Changsha / /

Position

Academic Editor / Judge / /

Product

Journal / /

ProvinceOrState

Delaware / /

Technology

hybrid DE algorithm / three algorithms / SM-DEMO algorithm / Test function ZDT2 ZDT3 ZDT4 ZDT6 Algorithm / NSGA-II algorithm / proposed hybrid DE algorithm / 0 0.5 1.0 1.5 0 0 0.5 1.0 1.5 f1 f1 Pareto frontier CNSGA-II Pareto frontier Proposed algorithm / proposed algorithms / constrained multiobjective algorithm / evolution algorithm / classical CNSGA-II algorithm / two algorithms / using three algorithms / Classification Process Water addition Feed water Feed ore Algorithm / proposed algorithm / usual genetic algorithms / 0 0 50 100 150 0 0 50 100 f1 f1 Pareto frontier CNSGA-II Pareto frontier Proposed algorithm / 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 f1 Pareto frontier CNSGA-II Pareto frontier Proposed algorithm / DE algorithm / multiobjective differential evolution algorithm / Simulation / evolutionary algorithms / Gui / /

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