Tetsuyuki Takahama

Artificial Intelligence · 2006–2010

A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it; #8,131 of 35,345 by trust here, #22,463 by citations
• Computational Theory and Mathematics — 14 citations into it; #2,003 of 12,182 by trust here, #5,724 by citations

Whom Tetsuyuki Takahama trusts overall

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

1. Kalyanmoy Deb
2. Thomas Philip Runarsson
3. Carlos Artemio Coello Coello
4. Sangameswar Venkatraman
5. Xin Yao
6. Raziyeh Farmani
7. Rammohan Mallipeddi
8. Gary G. Yen
9. Jingqiao Zhang
10. Ponnuthurai Nagaratnam Suganthan

Who trusts Tetsuyuki Takahama overall

1. Efrén Mezura-Montes
2. Swagatam Das
3. Ponnuthurai Nagaratnam Suganthan
4. Rammohan Mallipeddi
5. Carlos Artemio Coello Coello
6. Zhongwei Ma
7. Zhi-hui Zhan
8. R. Venkata Rao
9. Zhun Fan
10. Jing J. Liang

Papers from Tetsuyuki Takahama's perspective

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

1. An Efficient Constraint Handling Method for Genetic Algorithms
2. Stochastic ranking for constrained evolutionary optimization (IEEE Transactions on Evolutionary Computation)
3. Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces
4. Theoretical and numerical constraint-handling techniques used with evolutionary algorithms: a survey of the state of the art
5. Self-adaptive fitness formulation for constrained optimization (IEEE Transactions on Evolutionary Computation)
6. A generic framework for constrained optimization using genetic algorithms (IEEE Transactions on Evolutionary Computation)
7. A fast and elitist multiobjective genetic algorithm: NSGA-II
8. Constrained Optimization by the ε Constrained Differential Evolution with Gradient-Based Mutation and Feasible Elites (International Conference on Evolutionary Computation)
9. A simple multimembered evolution strategy to solve constrained optimization problems (IEEE Transactions on Evolutionary Computation)
10. JADE: Adaptive Differential Evolution With Optional External Archive (IEEE Transactions on Evolutionary Computation)

Their papers

• Constrained Optimization by the ε Constrained Differential Evolution with Gradient-Based Mutation and Feasible Elites (2006) — 489 citations
• Constrained optimization by the ε constrained differential evolution with an archive and gradient-based mutation (2010) — 332 citations