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نمایش تعداد 1-10 از 28

Evolutionary Computation for Dynamic Optimization Problems

نوع: Journal Paper

نویسنده : Shengxiang Yang

سال: 2015

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A new adaptive neural network and heuristics hybrid approach for job-shop scheduling

نوع: Journal Paper

نویسنده : Shengxiang Yang; Dingwei Wang

ناشر: Elsevier Science

سال: 2001

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Ant colony optimization with immigrants schemes for the dynamic travelling salesman problem with traffic factors

نوع: Journal Paper

نویسنده : Michalis Mavrovouniotis; Shengxiang Yang

سال: 2013

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A Clustering Particle Swarm Optimizer for Locating and Tracking Multiple Optima in Dynamic Environments

نوع: Journal Paper

نویسنده : Shengxiang Yang; Changhe Li

ناشر: IEEE

سال: 2010

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An adaptive learning particle swarm optimizer for function optimization

نوع: Journal Paper

نویسنده : Changhe Li; Shengxiang Yang

سال: 2009

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Training neural networks with ant colony optimization algorithms for pattern classification

نوع: Journal Paper

نویسنده : Michalis Mavrovouniotis; Shengxiang Yang

سال: 2014

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Dynamic railway junction rescheduling using population based ant colony optimisation

نوع: Conference Paper

نویسنده : Eaton, J.; Shengxiang Yang

ناشر: IEEE

سال: 2014

A benchmark generator for dynamic multi-objective optimization problems

نوع: Conference Paper

نویسنده : Shouyong Jiang; Shengxiang Yang

ناشر: IEEE

سال: 2014

Interactive and non-interactive hybrid immigrants schemes for ant algorithms in dynamic environments

نوع: Conference Paper

نویسنده : Mavrovouniotis, M. , Shengxiang Yang

ناشر: IEEE

سال: 2014

An improved quantum-behaved particle swarm optimization algorithm based on linear interpolation

نوع: Conference Paper

نویسنده : Shouyong Jiang , Shengxiang Yang

ناشر: IEEE

سال: 2014

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Evolutionary Computation for Dynamic Optimization Problems

A new adaptive neural network and heuristics hybrid approach for job-shop scheduling

Ant colony optimization with immigrants schemes for the dynamic travelling salesman problem with traffic factors

A Clustering Particle Swarm Optimizer for Locating and Tracking Multiple Optima in Dynamic Environments

An adaptive learning particle swarm optimizer for function optimization

Training neural networks with ant colony optimization algorithms for pattern classification

Dynamic railway junction rescheduling using population based ant colony optimisation

A benchmark generator for dynamic multi-objective optimization problems

Interactive and non-interactive hybrid immigrants schemes for ant algorithms in dynamic environments

An improved quantum-behaved particle swarm optimization algorithm based on linear interpolation

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Evolutionary Computation for Dynamic Optimization Problems

A new adaptive neural network and heuristics hybrid approach for job-shop scheduling

Ant colony optimization with immigrants schemes for the dynamic travelling salesman problem with traffic factors

A Clustering Particle Swarm Optimizer for Locating and Tracking Multiple Optima in Dynamic Environments

An adaptive learning particle swarm optimizer for function optimization

Training neural networks with ant colony optimization algorithms for pattern classification

Dynamic railway junction rescheduling using population based ant colony optimisation

A benchmark generator for dynamic multi-objective optimization problems

Interactive and non-interactive hybrid immigrants schemes for ant algorithms in dynamic environments

An improved quantum-behaved particle swarm optimization algorithm based on linear interpolation