Guohui Zhang
Artificial Intelligence · 2009–2011
A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 8 citations into it; #31,136 of 35,345 by trust here, #28,481 by citations
- Industrial and Manufacturing Engineering — 7 citations into it; #623 of 2,521 by trust here, #1,388 by citations
Whom Guohui Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Imed Kacem
- James Kennedy
- Konstantinos E. Parsopoulos
- Weijun Xia
- R. Eberhart
- Michael N. Vrahatis
- Kalyanmoy Deb
Who trusts Guohui Zhang overall
- Maroua Nouiri
- Imran Ali Chaudhry
- K. Gao
- Stjepan Oreski
- Abdelghani Bekrar
- Abid Ali Khan
- Zhiguang Cao
- Xinyu Li
- Goran Oreski
- Abderezak Jemai
Papers from Guohui Zhang's perspective
Ordered by how strongly the researchers Guohui Zhang trusts endorse each paper. Same corpus, a different order for every researcher.
- Pareto-optimality approach for flexible job-shop scheduling problems: hybridization of evolutionary algorithms and fuzzy logic (Mathematics and Computers in Simulation)
- Multi-objective optimization using evolutionary algorithms
- Tabu Search
- Particle swarm optimization
- Genetic Algorithms in Search Optimization and Machine Learning
- An effective hybrid optimization approach for multi-objective flexible job-shop scheduling problems (Computers & industrial engineering)
- Recent approaches to global optimization problems through Particle Swarm Optimization (Natural Computing)
- Genetic algorithm for the flexible job-shop scheduling problem (SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483))
- Approach by localization and multiobjective evolutionary optimization for flexible job-shop scheduling problems (IEEE Trans. Syst. Man Cybern. Part C)
- Genetic Algorithms + Data Structures = Evolution Programs