《基於混合差分進化的多目標工藝規劃和調度研究》是張聞強為項目負責人，河南工業大學為依託單位的青年科學基金項目。
基本介紹
- 中文名：基於混合差分進化的多目標工藝規劃和調度研究
- 項目類別 ：聯合基金項目
- 依託單位 ：河南工業大學
- 項目負責人：張聞強
科研成果,項目摘要,
科研成果
序號 | 標題 | 類型 | 作者 |
|---|---|---|---|
1 | An Effective Hybrid Evolutionary Algorithm for Bi-criteria Optimization Problems | 會議論文 | Wenqiang Zhang|Gang Liu|Weidong Yang|Zhan Qian| |
2 | Fast multi-objective hybrid evolutionary algorithm for flow shop scheduling problem | 會議論文 | Lu, Jiaming|Zhang, Hongmei|Wang, Chunxiao|Gen, Mitsuo| |
3 | Advances in hybrid metaheuristics for stochastic manufacturing scheduling: Part II case studies | 會議論文 | Gen, Mitsuo|Zhang, Wenqiang|Hao, Xinchang| |
4 | An Improved Multiobjective Evolutionary Algorithm Combining with Differential Evolution for Process Planning and Scheduling Problem | 會議論文 | Hao Li|Yu Wang|Chunxiao Wang|Mitsuo Gen| |
5 | α-resolution method for lattice-valued horn generalized clauses in lattice-valued first-order logic system | 會議論文 | Xu, Weitao|Zhang, Wenqiang|Zhang, Dexian|Xu, Yang| |
6 | A hybrid evolutionary algorithm framework and its applications to multiobjective scheduling problems | 會議論文 | Lu, Jiaming|Zhang, Hongmei|Qian, Zhan|Gen, Mitsuo| |
7 | Advances in hybrid metaheuristics for stochastic manufacturing scheduling: Part I models and methods | 會議論文 | Gen, Mitsuo|Hao, Xinchang|Zhang, Wenqiang| |
8 | Recent Advances in Multiobjective Genetic Algorithms for Manufacturing Scheduling Problems | 會議論文 | Gen, Mitsuo|Zhang, Wenqiang|Lin, Lin|Jo, Jungbok| |
9 | Multiobjective hybrid genetic algorithms for manufacturing scheduling: Part II case studies of HDD and TFT-LCD | 會議論文 | Gen, Mitsuo|Zhang, Wenqiang|Lin, Lin| |
10 | alpha-Resolution Method for Lattice-valued Horn Generalized Clauses in Lattice-valued Propositional Logic Systems | 期刊論文 | Zhang, Wenqiang|Zhang, Dexian|Xu, Yang|Pan, Xiaodong| |
11 | Multiobjective Hybrid Evolutionary Algorithm based on Multiobjective Local Search for Flow Shop Scheduling Problem | 會議論文 | Yu Wang|Jiaming Lu|Chunxiao Wang|Mitsuo Gen| |
12 | Multiobjective hybrid genetic algorithms for manufacturing scheduling: Part I models and algorithms | 會議論文 | Gen, Mitsuo|Lin, Lin|Zhang, Wenqiang| |
13 | Hybrid multiobjective evolutionary algorithm for assembly line balancing problem with stochastic processing time | 會議論文 | Zhang, Wenqiang|Xu, Weitao|Gen, Mitsuo| |
14 | α-RESOLUTION METHOD FOR LATTICE-VALUED HORN GENERALIZED CLAUSES IN LATTICE-VALUED PROPOSITIONAL LOGIC SYSTEM | 會議論文 | Weitao Xu|Wenqiang Zhang|Dexian Zhang| |
15 | Recent advance in hybrid evolutionary algorithms for multiobjective manufacturing scheduling | 期刊論文 | Mitsuo Gen|Wenqiang Zhang|Lin Lin|YoungSu Yun| |
16 | An effective hybrid evolutionary algorithm for stochastic multiobjective assembly line balancing problem | 期刊論文 | Zhang, Wenqiang|Xu, Weitao|Liu, Gang|Gen, Mitsuo| |
17 | A hybrid algorithm combining ant colony algorithm and genetic algorithm for dynamic web service composition | 期刊論文 | Zhao, Chen-Yang|Wang, Jun-Ling|Qin, Jie|Zhang, Wen-Qiang| |
18 | 流水車間調度問題的快速多目標混合進化算法 | 期刊論文 | 張聞強|盧佳明|張紅梅| |
19 | Hybrid sampling strategy-based multiobjective evolutionary algorithm for process planning and scheduling problem | 期刊論文 | Zhang, Wenqiang|Gen, Mitsuo|Jo, Jungbok| |
項目摘要
工藝規劃和調度以其基礎性、重要性以及複雜性，成為柔性製造系統領域研究的重點和熱點。而多目標最佳化因其複雜性、現實性以及給決策者提供更多更實際的備選方案集等特徵，成為工藝規劃和調度研究中的難點。研究此類實際生產調度中典型組合最佳化問題的多目標進化算法具有重要的學術意義和套用價值。本項目圍繞工藝規劃和調度的多目標最佳化，通過創新的混合差分進化框架構建、特殊的適應度評價函式設計、新穎的混合選擇機制、獨特的精英保存策略以及基於多個目標的混合局部搜尋技術等，以增強算法在Pareto前沿面多個方向上的收斂性能並保證算法的均勻分布性能，同時儘可能的降低算法的時間複雜度。本研究旨在混合進化算法框架設計、方向性搜尋、收斂和分布性能平衡以及效率提高等方面取得一系列有指導價值的理論與算法套用成果。本項目對於混合差分進化解決多資源約束條件下的多目標工藝規劃和調度問題的研究，將有利於推動複雜智慧型加工製造系統的研究和發展。
