Edward P. K. Tsang
Computational Theory and Mathematics · 1999–2010
A researcher in the Science corpus: 5 papers; trusts 13 researchers and is trusted by 28 researchers here, as inferred from the citation graph.
Subfields
- Computational Theory and Mathematics — 17 citations into it; #4,636 of 12,182 by trust here, #2,931 by citations
- Artificial Intelligence — 14 citations into it; #6,668 of 35,345 by trust here, #10,430 by citations
- Management Science and Operations Research — 5 citations into it; #8,736 of 11,946 by trust here, #5,316 by citations
- Statistics and Probability — 5 citations into it
Whom Edward P. K. Tsang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Fred W. Glover
- Kalyanmoy Deb
- David E. Goldberg
- Alan M. Frieze
- Qingfu Zhang
- Roger Fletcher
- Donald R. Jones
- Joshua D. Knowles
- Hui Li
- Manuel Laguna
Who trusts Edward P. K. Tsang overall
- Yaochu Jin
- Christian Blum
- Natalio Krasnogor
- Helena Ramalhinho Lourenço
- Javad Akbari Torkestani
- Shie Mannor
- Teemu Nuortio
- Ye Tian
- Damianos Gavalas
- Andrea Roli
Papers from Edward P. K. Tsang's perspective
Ordered by how strongly the researchers Edward P. K. Tsang trusts endorse each paper. Same corpus, a different order for every researcher.
- Genetic Algorithms in Search
- Multi-objective optimization using evolutionary algorithms
- A fast and elitist multiobjective genetic algorithm: NSGA-II
- Performance assessment of multiobjective optimizers: an analysis and review (IEEE Transactions on Evolutionary Computation)
- MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition (IEEE Transactions on Evolutionary Computation)
- A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output From a Computer Code
- Genetic Algorithms in Search Optimization and Machine Learning
- Single- and multiobjective evolutionary optimization assisted by Gaussian random field metamodels (IEEE Transactions on Evolutionary Computation)
- Nonlinear multiobjective optimization
- Handbook Of Genetic Algorithms
Their papers
- Combining Model-based and Genetics-based Offspring Generation for Multi-objective Optimization Using a Convergence Criterion (2006) — 343 citations
- Expensive Multiobjective Optimization by MOEA/D With Gaussian Process Model (2010) — 701 citations
- DE/EDA: A new evolutionary algorithm for global optimization (2005) — 324 citations
- Guided Local Search (2010) — 413 citations
- Guided local search and its application to the traveling salesman problem (1999)