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Metaheuristic
Known as:
Meta-Heuristic Methods
, Meta heuristics
, Euristic Algorithm
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In computer science and mathematical optimization, a metaheuristic is a higher-level procedure or heuristic designed to find, generate, or select a…
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Related topics
Related topics
49 relations
Ant colony optimization algorithms
Artificial bee colony algorithm
Backtracking
Bat algorithm
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Broader (1)
Operations research
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2011
Highly Cited
2011
Cuckoo search algorithm: a metaheuristic approach to solve structural optimization problems
A. Gandomi
,
Xin-She Yang
,
A. Alavi
Engineering computations
2011
Corpus ID: 52820449
In this study, a new metaheuristic optimization algorithm, called cuckoo search (CS), is introduced for solving structural…
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Highly Cited
2010
Highly Cited
2010
A New Metaheuristic Bat-Inspired Algorithm
Xin-She Yang
Nature Inspired Cooperative Strategies for…
2010
Corpus ID: 14494281
Metaheuristic algorithms such as particle swarm optimization, firefly algorithm and harmony search are now becoming powerful…
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Highly Cited
2010
Highly Cited
2010
Chemical-Reaction-Inspired Metaheuristic for Optimization
Albert Y. S. Lam
,
V. Li
IEEE Transactions on Evolutionary Computation
2010
Corpus ID: 2281747
We encounter optimization problems in our daily lives and in various research domains. Some of them are so hard that we can, at…
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Highly Cited
2009
Highly Cited
2009
Metaheuristics: From Design to Implementation
El-Ghazali Talbi
2009
Corpus ID: 5383918
A unified view of metaheuristics This book provides a complete background on metaheuristics and shows readers how to design and…
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Highly Cited
2009
Highly Cited
2009
SMPSO: A new PSO-based metaheuristic for multi-objective optimization
Antonio J. Nebro
,
J. Durillo
,
J. García-Nieto
,
C. C. Coello
,
F. Luna
,
E. Alba
International Conference on Multiple Criteria…
2009
Corpus ID: 13135016
In this work, we present a new multi-objective particle swarm optimization algorithm (PSO) characterized by the use of a strategy…
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Review
2008
Review
2008
Nature-Inspired Metaheuristic Algorithms
Xin-She Yang
2008
Corpus ID: 60703382
Modern metaheuristic algorithms such as bee algorithms and harmony search start to demonstrate their power in dealing with tough…
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Review
2003
Review
2003
Metaheuristics in combinatorial optimization: Overview and conceptual comparison
C. Blum
,
A. Roli
CSUR
2003
Corpus ID: 2042712
The field of metaheuristics for the application to combinatorial optimization problems is a rapidly growing field of research…
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Highly Cited
2003
Highly Cited
2003
The Ant Colony Optimization Metaheuristic: Algorithms, Applications, and Advances
M. Dorigo
,
T. Stützle
2003
Corpus ID: 6315988
The field of ACO algorithms is very lively, as testified, for example, by the successful biannual workshop (ANTS—From Ant…
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Highly Cited
2002
Highly Cited
2002
A Taxonomy of Hybrid Metaheuristics
El-Ghazali Talbi
J. Heuristics
2002
Corpus ID: 207556771
Hybrid metaheuristics have received considerable interest these recent years in the field of combinatorial optimization. A wide…
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Highly Cited
1996
Highly Cited
1996
Metaheuristics: A bibliography
I. Osman
,
G. Laporte
Annals of Operations Research
1996
Corpus ID: 14017373
Metaheuristics are the most exciting development in approximate optimization techniques of the last two decades. They have had…
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