Gregorio Toscano Pulido
Artificial Intelligence · 2001–2004
A researcher in the Science corpus: 2 papers; trusts 22 researchers and is trusted by 48 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 21 citations into it; #4,660 of 35,345 by trust here, #8,077 by citations
- Computational Theory and Mathematics — 20 citations into it; #750 of 12,182 by trust here, #996 by citations
Whom Gregorio Toscano Pulido trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Carlos Artemio Coello Coello
- Kalyanmoy Deb
- Eckart Zitzler
- David E. Goldberg
- Xiaodong Li
- Joshua D. Knowles
- Tapabrata Ray
- Konstantinos E. Parsopoulos
- Xiaohui Hu
- Samir Agrawal
Who trusts Gregorio Toscano Pulido overall
- Joshua D. Knowles
- Carlos Artemio Coello Coello
- Seyedali Mirjalili
- Shu Yang
- Chang Qi
- Michael T. M. Emmerich
- Andreas Efstratiadis
- Ramón Quiza Sardiñas
- Abdullah Konak
- Margarita Reyes-Sierra
Papers from Gregorio Toscano Pulido's perspective
Ordered by how strongly the researchers Gregorio Toscano Pulido trusts endorse each paper. Same corpus, a different order for every researcher.
- Genetic Algorithms in Search Optimization and Machine Learning
- Comparison of Multiobjective Evolutionary Algorithms: Empirical Results (Evolutionary Computation)
- Approximating the Nondominated Front Using the Pareto Archived Evolution Strategy (Evolutionary Computation)
- Evolutionary Algorithms for Solving Multi-Objective Problems
- Evolutionary Optimization in Dynamic Environments (Genetic Algorithms and Evolutionary Computation)
- MOPSO: a proposal for multiple objective particle swarm optimization (Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600))
- Multiobjective optimization using dynamic neighborhood particle swarm optimization (Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600))
- SPEA2: Improving the strength pareto evolutionary algorithm
- Handling preferences in evolutionary multiobjective optimization: a survey (Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512))
- Multiobjective Evolutionary Algorithms: Analyzing the State-of-the-Art (Evolutionary Computation)
Their papers
- Handling multiple objectives with particle swarm optimization (2004) — 4,119 citations
- A Micro-Genetic Algorithm for Multiobjective Optimization (2001) — 470 citations