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Method of Inequality-Based Multiobjective Genetic Algorithm for Domestic Daily Aircraft Routing

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4 Author(s)
Ta-Yuan Chou ; Nat. Sun Yat-Sen Univ., Kaohsiung ; Tung-Kuan Liu ; Chung-Nan Lee ; Chi-Ruey Jeng

This study proposes a method of inequality-based multiobjective genetic algorithm (MMGA) to solve the aircraft routing problem. The proposed algorithm includes the following features: 1) a method of inequality to confine a genetic algorithm to search a Pareto optimal set in regions of interest with little computing effort; 2) an improved rank-based fitness assignment method to significantly increase the speed of fitness evaluation; and 3) a repairing strategy to relax the infeasible flight schedules to help reduce violations of solutions. The MMGA is successfully applied to solve the aircraft routing problems in a local airline company.

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Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on  (Volume:38 ,  Issue: 2 )