scispace - formally typeset
Topic

Metaheuristic

About: Metaheuristic is a(n) research topic. Over the lifetime, 29916 publication(s) have been published within this topic receiving 921064 citation(s).

...read more

Papers
  More

Proceedings ArticleDOI: 10.1109/ICNN.1995.488968
06 Aug 2002-
Abstract: A concept for the optimization of nonlinear functions using particle swarm methodology is introduced. The evolution of several paradigms is outlined, and an implementation of one of the paradigms is discussed. Benchmark testing of the paradigm is described, and applications, including nonlinear function optimization and neural network training, are proposed. The relationships between particle swarm optimization and both artificial life and genetic algorithms are described.

...read more

Topics: Multi-swarm optimization (77%), Metaheuristic (69%), Stochastic diffusion search (67%) ...read more

32,237 Citations


Journal ArticleDOI: 10.1023/A:1008202821328
Rainer Storn1, Kenneth PriceInstitutions (1)
Abstract: A new heuristic approach for minimizing possibly nonlinear and non-differentiable continuous space functions is presented. By means of an extensive testbed it is demonstrated that the new method converges faster and with more certainty than many other acclaimed global optimization methods. The new method requires few control variables, is robust, easy to use, and lends itself very well to parallel computation.

...read more

Topics: Continuous optimization (63%), Global optimization (58%), Random optimization (58%) ...read more

20,354 Citations


Journal ArticleDOI: 10.1007/S11721-007-0002-0
James Kennedy, Russell C. Eberhart1Institutions (1)
01 Jan 1995-Swarm Intelligence
Abstract: A concept for the optimization of nonlinear functions using particle swarm methodology is introduced The evolution of several paradigms is outlined, and an implementation of one of the paradigms is discussed Benchmark testing of the paradigm is described, and applications, including nonlinear function optimization and neural network training, are proposed The relationships between particle swarm optimization and both artificial life and genetic algorithms are described

...read more

Topics: Multi-swarm optimization (77%), Metaheuristic (69%), Particle swarm optimization (65%) ...read more

17,792 Citations


Proceedings ArticleDOI: 10.1109/MHS.1995.494215
Russell C. Eberhart1, James KennedyInstitutions (1)
04 Oct 1995-
Abstract: The optimization of nonlinear functions using particle swarm methodology is described. Implementations of two paradigms are discussed and compared, including a recently developed locally oriented paradigm. Benchmark testing of both paradigms is described, and applications, including neural network training and robot task learning, are proposed. Relationships between particle swarm optimization and both artificial life and evolutionary computation are reviewed.

...read more

Topics: Multi-swarm optimization (69%), Metaheuristic (63%), Particle swarm optimization (62%) ...read more

13,173 Citations


Open accessBook
01 Jan 2001-
Abstract: From the Publisher: Evolutionary algorithms are relatively new, but very powerful techniques used to find solutions to many real-world search and optimization problems. Many of these problems have multiple objectives, which leads to the need to obtain a set of optimal solutions, known as effective solutions. It has been found that using evolutionary algorithms is a highly effective way of finding multiple effective solutions in a single simulation run. · Comprehensive coverage of this growing area of research · Carefully introduces each algorithm with examples and in-depth discussion · Includes many applications to real-world problems, including engineering design and scheduling · Includes discussion of advanced topics and future research · Features exercises and solutions, enabling use as a course text or for self-study · Accessible to those with limited knowledge of classical multi-objective optimization and evolutionary algorithms The integrated presentation of theory, algorithms and examples will benefit those working and researching in the areas of optimization, optimal design and evolutionary computing. This text provides an excellent introduction to the use of evolutionary algorithms in multi-objective optimization, allowing use as a graduate course text or for self-study.

...read more

Topics: Evolutionary computation (64%), Evolutionary algorithm (62%), Evolutionary programming (61%) ...read more

11,886 Citations


Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202276
20211,633
20201,523
20191,371
20181,381
20171,896

Top Attributes

Show by:

Topic's top 5 most impactful authors

Ricardo Soto

123 papers, 933 citations

Xin-She Yang

121 papers, 40.4K citations

Enrique Alba

98 papers, 3.3K citations

El-Ghazali Talbi

96 papers, 5.6K citations

Ali Kaveh

92 papers, 3.5K citations

Network Information
Related Topics (5)
Local search (optimization)

16.5K papers, 397K citations

95% related
Evolutionary algorithm

35.2K papers, 897.2K citations

95% related
Genetic algorithm

67.5K papers, 1.2M citations

95% related
Multi-objective optimization

28.3K papers, 743.8K citations

94% related
Evolutionary computation

16.9K papers, 639K citations

93% related