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Genetic Algorithms in Engineering Systems: Innovations and Applications, 1995. GALESIA. First International Conference on (Conf. Publ. No. 414)

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Genetic Algorithms in Engineering Systems: Innovations and Applications, 1995. GALESIA. First International Conference on (Conf. Publ. No. 414)

Date 12-14 Sep 1995

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Genetic algorithms applied to fuzzy sliding mode controller design

H_∞ design of an EMS control system for a maglev vehicle using evolutionary algorithms

Application of genetic algorithms to pump scheduling for water supply

Genetic algorithms in controller structure selection

GAS, an approach to a solution of the niche radius problem

Structured messy genetic algorithm approach for the optimal improvement of water distribution systems

Sliding mode control design using genetic algorithms

Handling constrained power dispatch with genetic algorithms

The synthesis of hybrid five-bar path generating mechanisms using genetic algorithms

Optimization of direction finders by genetic algorithms

Genetic design of VLSI-layouts

Using a tree structured genetic algorithm to perform symbolic regression

Genetic algorithms and statistical methods: a comparison

Evolving fault tolerant systems

Design of integrated production-inventory-distribution systems using genetic algorithm

Loudspeaker polar error concealment by means of digital filters designed with genetic algorithms

Multiple genetic algorithm processor for the economic power dispatch problem

The algorithms of natural vision: the multi-channel gradient model

A genetic algorithm for affine invariant object shape recognition

Genetic algorithm for the design of multipoint connections in a local access network

A genetic algorithm (GA) solution of inspection path planning system for multiple tasks inspection on co-ordinate measuring machine (CMM)

Evolving signal processing algorithms by genetic programming

Genetic auto-tuning of PID controllers

Using a genetic algorithm to evolve an optimum input set for a predictive neural network

Generating test data for ADA procedures using genetic algorithms

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