Carlos A. Coello Coello: Difference between revisions
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{{Biography | |||
|Associated organizations=Center for Research and Advanced Studies of the National Polytechnic Institute in Mexico City | |||
|Fields of study=Computing | |||
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A trailblazer of evolutionary computation research, Carlos A. Coello Coello was one of the first scientists to investigate evolutionary multiobjective optimization for solving complex problems impacting many areas of engineering. His algorithms have found application to airplane design optimization, planning the placement of electrical towers, designing a framework of a motorcycle, and optimizing production processes for sugar cane cutting. Dr. Coello pioneered the development of self-adaptive multiobjective evolutionary algorithms, which can adjust parameters automatically without human intervention. He is also well known for developing one of the earliest multiobjective particle swarm optimizers, which can solve highly nonlinear optimization problems. He also created the first multiobjective artificial immune system, in which algorithms use characteristics of the human immune system to solve complex problems. | A trailblazer of evolutionary computation research, Carlos A. Coello Coello was one of the first scientists to investigate evolutionary multiobjective optimization for solving complex problems impacting many areas of engineering. His algorithms have found application to airplane design optimization, planning the placement of electrical towers, designing a framework of a motorcycle, and optimizing production processes for sugar cane cutting. Dr. Coello pioneered the development of self-adaptive multiobjective evolutionary algorithms, which can adjust parameters automatically without human intervention. He is also well known for developing one of the earliest multiobjective particle swarm optimizers, which can solve highly nonlinear optimization problems. He also created the first multiobjective artificial immune system, in which algorithms use characteristics of the human immune system to solve complex problems. | ||
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[[Category:Evolutionary_computation]] | [[Category:Evolutionary_computation]] | ||
Latest revision as of 15:26, 20 January 2016
- Associated organizations
- Center for Research and Advanced Studies of the National Polytechnic Institute in Mexico City
- Fields of study
- Computing
Biography
A trailblazer of evolutionary computation research, Carlos A. Coello Coello was one of the first scientists to investigate evolutionary multiobjective optimization for solving complex problems impacting many areas of engineering. His algorithms have found application to airplane design optimization, planning the placement of electrical towers, designing a framework of a motorcycle, and optimizing production processes for sugar cane cutting. Dr. Coello pioneered the development of self-adaptive multiobjective evolutionary algorithms, which can adjust parameters automatically without human intervention. He is also well known for developing one of the earliest multiobjective particle swarm optimizers, which can solve highly nonlinear optimization problems. He also created the first multiobjective artificial immune system, in which algorithms use characteristics of the human immune system to solve complex problems.
An IEEE Fellow, Dr. Coello is professor and chair of the Computer Science Department with the Center for Research and Advanced Studies of the National Polytechnic Institute in Mexico City.
