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rEvolutionaryEngineering

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Description: Researches and develops applications using evolutionary algorithms and genetic algorithms for finance and engineering.
The robust capability of EAs to find solutions to difficult problems has permitted them to become the optimization and search techniques of choice by many industries. From the design of jet engines to the scheduling of airline crews, EAs, in their various forms, are routinely solving a multitude of complex, multi-dimensional, multi-modal optimization problems.
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Page title:Introduction
Keywords:genetic algorithms, evolutionary algorithms, engineering, finance, adaptive systems, dynamic systems, artificial intelligence
Description:Evolutionary Algorithms for Finance and Engineering
IP-address:50.23.218.100

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Creation Date: 23-mar-2001
Expiration Date: 23-mar-2014