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32 results on '"Gao, Kai-zhou"'

10. Multi-Objective Multi-Picking-Robot Task Allocation: Mathematical Model and Discrete Artificial Bee Colony Algorithm

Author

Dai, Lou-Lei, Pan, Quan-Ke, Miao, Zhong-Hua, Suganthan, Ponnuthurai Nagaratnam, and Gao, Kai-Zhou

Abstract

With the advent of agriculture 4.0 era, the combination of agriculture and unmanned technology has promoted the development of intelligent agriculture. However, there are relatively few studies on the agricultural robot task allocation problem to optimize the cost and efficiency of smart farms. To make up this deficiency, this paper addresses a multi-picking-robot task allocation (MPRTA) problem with two objectives of minimizing the maximum completion time and minimizing the total travel length of all robots. An effective multi-objective discrete artificial bee colony (MODABC) algorithm is proposed to solve this problem. At first, a heuristic allocation method based on robot load balancing is designed to generate high-quality initial solutions. And then, a multi-objective self-adaptive strategy is proposed to enhance the exploitation and exploration of the algorithm. In addition, a multi-objective local search strategy for the non-dominated solutions is presented to help the population find better solutions. At last, extensive experiments based on different task sizes and robot scales of an intelligent orchard demonstrate the effectiveness and high performance of the proposed algorithm for solving the MPRTA problem.

Published
2024
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15. Load Information Based Priority Dependant Heuristic for Manpower Scheduling Problem in Remanufacturing

Author

Debchoudhury, Shantanab, Basu, Debabrota, Gao, Kai-Zhou, Suganthan, Ponnuthurai Nagaratnam, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Panigrahi, Bijaya Ketan, editor, Suganthan, Ponnuthurai Nagaratnam, editor, Das, Swagatam, editor, and Dash, Shubhransu Sekhar, editor

Published
2013
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16. A Novel Improved Discrete ABC Algorithm for Manpower Scheduling Problem in Remanufacturing

Author

Basu, Debabrota, Debchoudhury, Shantanab, Gao, Kai-Zhou, Suganthan, Ponnuthurai Nagaratnam, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Panigrahi, Bijaya Ketan, editor, Suganthan, Ponnuthurai Nagaratnam, editor, Das, Swagatam, editor, and Dash, Shubhransu Sekhar, editor

Published
2013
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24. An effective discrete harmony search algorithm for flexible job shop scheduling problem with fuzzy processing time.

Author

Gao, Kai Zhou, Suganthan, Ponnuthurai Nagaratnam, Pan, Quan Ke, and Tasgetiren, Mehmet Fatih

Subjects
FLOW shop scheduling, PRODUCTION scheduling, WORKFLOW management, FUZZY logic, REMANUFACTURING, METAHEURISTIC algorithms, HEURISTIC algorithms
Abstract

This study addresses flexible job shop scheduling problem (FJSP) with fuzzy processing time. The fuzzy or uncertainty of processing time is one of seven characteristics in remanufacturing. A discrete harmony search (DHS) algorithm is proposed for FJSP with fuzzy processing time. The objective is to minimise maximum fuzzy completion time. A simple and effective heuristic rule is proposed to initialise harmony population. Extensive computational experiments are carried out using five benchmark cases with eight instances from remanufacturing. The proposed heuristic rule is evaluated using five benchmark cases. The proposed DHS algorithm is compared to six metaheuristics. The results and comparisons show the effectiveness and efficiency of DHS for solving FJSP with fuzzy processing time. [ABSTRACT FROM PUBLISHER]

Published
2015
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