# Evolutionary algorithm

## Papers overview

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Highly Cited

2007

Highly Cited

2007

- IEEE Transactions on Evolutionary Computation
- 2007

Decomposition is a basic strategy in traditional multiobjective optimization. However, it has not yet been widely used inâ€¦Â (More)

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Highly Cited

2007

Highly Cited

2007

- J. Global Optimization
- 2007

Swarm intelligence is a research branch that models the population of interacting agents or swarms that are able to self-organizeâ€¦Â (More)

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Highly Cited

2002

Highly Cited

2002

- Genetic Algorithms and Evolutionary Computation
- 2002

Educational Goals of Course(s): i. Explore and evaluate Multi-Objective Evolutionary algorithm (MOEA) space, Multi-Objectiveâ€¦Â (More)

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Highly Cited

2002

Highly Cited

2002

- IEEE Trans. Evolutionary Computation
- 2002

This paper proposes a novel evolutionary algorithm inspired by quantum computing, called a quantum-inspired evolutionaryâ€¦Â (More)

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Highly Cited

2001

Highly Cited

2001

- 2001

The Strength Pareto Evolutionary Algorithm (SPEA) (Zitzle r and Thiele 1999) is a relatively recent technique for finding orâ€¦Â (More)

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Review

2000

Review

2000

- Evolutionary Computation
- 2000

Solving optimization problems with multiple (often conflicting) objectives is, generally, a very difficult goal. Evolutionaryâ€¦Â (More)

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Highly Cited

1999

Highly Cited

1999

- IEEE Trans. Evolutionary Computation
- 1999

Evolutionary algorithms (EAâ€™s) are often well-suited for optimization problems involving several, often conflicting objectivesâ€¦Â (More)

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Highly Cited

1998

Highly Cited

1998

- 1998

Evolutionary algorithms EA have proved to be well suited for optimization prob lems with multiple objectives Due to theirâ€¦Â (More)

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Highly Cited

1996

Highly Cited

1996

- 1996

Find the secret to improve the quality of life by reading this evolutionary algorithms in theory and practice evolutionâ€¦Â (More)

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Highly Cited

1994

Highly Cited

1994

- IEEE Trans. Neural Networks
- 1994

Standard methods for simultaneously inducing the structure and weights of recurrent neural networks limit every task to anâ€¦Â (More)

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