SCHEDULE DESIGN AND FLEET ASSIGNMENT BASED ON MODIFIED INTELLIGENT ALGORITHMS

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KHANMIRZA ESMAEEL; NAZARAHARI MILAD; HAGHBEIGI MORTEZA

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Journal: Modares Mechanical Engineering Year:2017 | Volume:17 | Issue:6 Page(s): 59-66

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Title

SCHEDULE DESIGN AND FLEET ASSIGNMENT BASED ON MODIFIED INTELLIGENT ALGORITHMS

Author(s)

KHANMIRZA ESMAEEL | NAZARAHARI MILAD | HAGHBEIGI MORTEZA | Issue Writer Certificate

Keywords

FLIGHT SCHEDULEQ1

FLEET ASSIGNMENTQ1

MULTI-LAYER GENETIC ALGORITHMQ1

VARIABLE CHROMOSOME LENGTHQ1

Abstract

FLIGHT SCHEDULE design and FLEET ASSIGNMENT are the main sub problems of the airline schedule planning which have the most effect on the costs and profit of the airline. In this paper, integrated FLIGHT SCHEDULE design and FLEET ASSIGNMENT problem is described and genetic algorithm has been developed to solve this problem. It has a number of constraints and multi-layer permutation chromosomes with variable length.So, creating the initial population randomly and use of customary operators of evolutionary algorithms will not be efficient since the probability of feasibility is very low. For this purpose, a new function based on loop concept to create an initial population and new crossover and mutation operators has been developed. A genetic algorithm has been used within the main loop to optimize the redirection of the passengers. Four models with different numbers of airports and fleets are created as an input for the problem which has been solved by two and three islands genetic algorithms. Results show that in each iteration of the main loop, feasible answers are obtained, and finally there was a proper improvement in the costs. In larger models, there is a better Improvement in the costs and more difference between two and three islands algorithms. Three islands mode results in a better solution within a longer time. The developed algorithm can successfully find feasible optimal solution and it can be used for high dimensional problems in which there is no possibility of finding the optimal solution by using conventional methods such as MILP.

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APA: Copy

KHANMIRZA, ESMAEEL, NAZARAHARI, MILAD, & HAGHBEIGI, MORTEZA. (2017). SCHEDULE DESIGN AND FLEET ASSIGNMENT BASED ON MODIFIED INTELLIGENT ALGORITHMS. MODARES MECHANICAL ENGINEERING, 17(6 ), 59-66. SID. https://sid.ir/paper/179237/en

Vancouver: Copy

KHANMIRZA ESMAEEL, NAZARAHARI MILAD, HAGHBEIGI MORTEZA. SCHEDULE DESIGN AND FLEET ASSIGNMENT BASED ON MODIFIED INTELLIGENT ALGORITHMS. MODARES MECHANICAL ENGINEERING[Internet]. 2017;17(6 ):59-66. Available from: https://sid.ir/paper/179237/en

IEEE: Copy

ESMAEEL KHANMIRZA, MILAD NAZARAHARI, and MORTEZA HAGHBEIGI, “SCHEDULE DESIGN AND FLEET ASSIGNMENT BASED ON MODIFIED INTELLIGENT ALGORITHMS,” MODARES MECHANICAL ENGINEERING, vol. 17, no. 6 , pp. 59–66, 2017, [Online]. Available: https://sid.ir/paper/179237/en

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