Skip to search form
Skip to main content
Skip to account menu
Semantic Scholar
Semantic Scholar's Logo
Search 233,780,910 papers from all fields of science
Search
Sign In
Create Free Account
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…
Expand
Wikipedia
(opens in a new tab)
Create Alert
Alert
Related topics
Related topics
13 relations
CMA-ES
Computational neurogenetic modeling
Differential evolution
Evolution strategy
Expand
Broader (1)
Cybernetics
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2016
2016
Research on Multimodal Optimization Algorithm for the Contamination Source Identification of City Water Distribution Networks
Xuesong Yan
,
Jing Zhao
,
Chengyu Hu
International Conference on Bio-Inspired…
2016
Corpus ID: 19842232
In recent years, drinking water contamination happens from time to time and causes severe damage to social stability and safety…
Expand
2016
2016
Design of linear phase low pass FIR filter using restart particle swarm optimization
Himanshu Gupta
,
Deepak Mandloi
,
Anand Jat
,
A. Gupta
,
P. Ojha
International Conference on Advances in Computing…
2016
Corpus ID: 8832762
Finite Impulse Response Filters (FIR) is widely used in signal processing applications. Designing of a FIR filter which satisfies…
Expand
2014
2014
New approaches for multimodal optimization based on particle swarm and clustering
P. S. Prampero
2014
Corpus ID: 36823454
2011
2011
Improved Artificial Immune System Algorithm with Local Search
R. Javadzadeh.
,
Zahra Afsahi
,
M. Meybodi
2011
Corpus ID: 14055417
The Artificial immune systems algorithms are Meta heuristic optimization method, which are used for clustering and pattern…
Expand
2010
2010
Multimodal optimization of simulated systems
A. Baccouche
,
A. Huyet
,
H. Pierreval
,
Besma Feyech
2010
Corpus ID: 155389711
Many approaches have been suggested to solve simulation optimization problems. In classical problems, these approaches provide…
Expand
2009
2009
Niching with Sub-swarm Based Particle Swarm Optimization
M. Rashid
,
A. R. Baig
,
K. Zafar
International Conference on Computer Technology…
2009
Corpus ID: 15514344
In this study we present a sub-swarm based particle swarm optimization algorithm for niching (NSPSO). The NSPSO algorithm is…
Expand
2008
2008
Collaborative Evolutionary Swarm Optimization with a Gauss Chaotic Sequence Generator
R. Lung
,
D. Dumitrescu
Innovations in Hybrid Intelligent Systems
2008
Corpus ID: 7356430
A new hybrid approach to optimization in dynamical environments called Collaborative Evolutionary-Swarm Optimization (CESO) is…
Expand
2008
2008
A detecting peak's number technique for multimodal function optimization
Hua-qiang
,
WuBin
,
Tianhao
2008
Corpus ID: 215980357
A Detecting Peak's Number (DPN) technique is proposed for multimodal optimization. In DPN technique, we want to know the peak's…
Expand
2001
2001
Towards multimodal corpora
P. Thibault
,
A. Baldry
2001
Corpus ID: 190813324
2001
2001
Improved sequential niche genetic algorithm for multimodal optimization
Yu Xinjie
2001
Corpus ID: 64376700
Two improved strategies are presented for the standard sequential niche (SN) algorithm which faced difficulties when it is used…
Expand
By clicking accept or continuing to use the site, you agree to the terms outlined in our
Privacy Policy
(opens in a new tab)
,
Terms of Service
(opens in a new tab)
, and
Dataset License
(opens in a new tab)
ACCEPT & CONTINUE
or Only Accept Required