Maximino Salazar Lechuga

Computational Theory and Mathematics · 2002–2004

A researcher in the Science corpus: 2 papers; trusts 22 researchers and is trusted by 57 researchers here, as inferred from the citation graph.

Subfields

• Computational Theory and Mathematics — 20 citations into it; #552 of 12,182 by trust here, #691 by citations
• Artificial Intelligence — 19 citations into it; #3,890 of 35,345 by trust here, #6,422 by citations

Whom Maximino Salazar Lechuga trusts overall

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

1. Carlos Artemio Coello Coello
2. Kalyanmoy Deb
3. Joshua D. Knowles
4. Eckart Zitzler
5. David E. Goldberg
6. Tapabrata Ray
7. David Wolfe Corne
8. Xiaodong Li
9. Samir Agrawal
10. D. V. Veldhuizen

Who trusts Maximino Salazar Lechuga overall

1. Carlos Artemio Coello Coello
2. Seyedali Mirjalili
3. Xiaodong Li
4. Julio E. Alvarez-Benitez
5. Maoguo Gong
6. Ye Tian
7. Margarita Reyes-Sierra
8. Joshua D. Knowles
9. Alec Banks
10. Shanu Verma

Papers from Maximino Salazar Lechuga's perspective

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

1. Approximating the Nondominated Front Using the Pareto Archived Evolution Strategy (Evolutionary Computation)
2. Genetic Algorithms in Search Optimization and Machine Learning
3. Comparison of Multiobjective Evolutionary Algorithms: Empirical Results (Evolutionary Computation)
4. Evolutionary Algorithms for Solving Multi-Objective Problems
5. Evolutionary Optimization in Dynamic Environments (Genetic Algorithms and Evolutionary Computation)
6. SPEA2: Improving the strength pareto evolutionary algorithm
7. MOPSO: a proposal for multiple objective particle swarm optimization (Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600))
8. Multiobjective optimization using dynamic neighborhood particle swarm optimization (Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600))
9. A Micro-Genetic Algorithm for Multiobjective Optimization (International Conference on Evolutionary Multi-Criterion Optimization)
10. A Fast Elitist Non-dominated Sorting Genetic Algorithm for Multi-objective Optimisation: NSGA-II

Their papers

• Handling multiple objectives with particle swarm optimization (2004) — 4,119 citations
• MOPSO: a proposal for multiple objective particle swarm optimization (2002) — 2,335 citations