Dawei Du

Artificial Intelligence · with Ergezer · 2009

A researcher in the Science corpus: 1 paper; trusts 30 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it; #11,164 of 35,345 by trust here, #10,207 by citations
• Computational Theory and Mathematics — 9 citations into it; #3,169 of 12,182 by trust here, #1,529 by citations
• Management Science and Operations Research — 5 citations into it

Whom Dawei Du trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. John G. Proakis
2. Mitchell A. Potter
3. Dervis Karaboga
4. R. Eberhart
5. Efrén Mezura-Montes
6. Hans-Georg Beyer
7. Kyung-shik Shin
8. Kyoung-jae Kim
9. Aniruddha Bhattacharya
10. Hamid R. Tizhoosh

Who trusts Dawei Du overall

1. Gai-ge Wang
2. Amin Hadidi
3. Tansel Dökeroğlu
4. Gaurav Dhiman

Papers from Dawei Du's perspective

Ordered by how strongly the researchers Dawei Du trusts endorse each paper. Same corpus, a different order for every researcher.

1. No free lunch theorems for optimization
2. Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces
3. Evolutionary programming made faster
4. Artificial Intelligence through Simulated Evolution
5. Evolutionsstrategie : Optimierung technischer Systeme nach Prinzipien der biologischen Evolution
6. A Cooperative Coevolutionary Approach to Function Optimization
7. A comparative study of differential evolution, particle swarm optimization, and evolutionary algorithms on numerical benchmark problems (Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753))
8. Opposition-Based Learning: A New Scheme for Machine Intelligence (International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC'06))
9. DE/BBO: a hybrid differential evolution with biogeography-based optimization for global numerical optimization (Soft Computing - A Fusion of Foundations, Methodologies and Applications)
10. A simple multimembered evolution strategy to solve constrained optimization problems (IEEE Transactions on Evolutionary Computation)

Their papers

• Oppositional biogeography-based optimization (2009) — 2,518 citations