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Evolutionary multimodal optimization

Known as: Evolutionary multi-modal optimization, Multimodal 
In applied mathematics, multimodal optimization deals with optimization tasks that involve finding all or most of the multiple (at least locally… 
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Papers overview

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2016
2016
In recent years, drinking water contamination happens from time to time and causes severe damage to social stability and safety… 
2016
2016
Finite Impulse Response Filters (FIR) is widely used in signal processing applications. Designing of a FIR filter which satisfies… 
2011
2011
The Artificial immune systems algorithms are Meta heuristic optimization method, which are used for clustering and pattern… 
2010
2010
Many approaches have been suggested to solve simulation optimization problems. In classical problems, these approaches provide… 
2009
2009
In this study we present a sub-swarm based particle swarm optimization algorithm for niching (NSPSO). The NSPSO algorithm is… 
2008
2008
A new hybrid approach to optimization in dynamical environments called Collaborative Evolutionary-Swarm Optimization (CESO) is… 
2008
2008
A Detecting Peak's Number (DPN) technique is proposed for multimodal optimization. In DPN technique, we want to know the peak's… 
2001
2001
2001
Two improved strategies are presented for the standard sequential niche (SN) algorithm which faced difficulties when it is used…