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Test functions for optimization

In applied mathematics, test functions, known as artificial landscapes, are useful to evaluate characteristics of optimization algorithms, such as… 
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Papers overview

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2017
2017
The aim of this paper is to propose an optimization algorithm which is inspired by the comet's life. Like other evolutionary… 
2017
2017
This article discusses issues related to the application of the user interactivity in optimization process, aided by the method… 
2016
2016
Growing popularity of probabilistic and stochastic optimization methods in engineering applications has vastly increased the… 
2014
2014
Artificial bee colony is a meta-heuristic optimization algorithm based on the behavior of honey bee swarm. These bees work… 
2014
2014
Artificial bee colony is a metaheuristic optimization algorithm based on the behaviour of honey bee swarm. These bees work… 
2012
2012
To function effectively with high amount of network traffic an intrusion system must be have capability of detecting malevolent… 
2011
2011
Neural networks can easily fall into a local extremum and have slow convergence rate. Quantum Genetic Algorithm (QGA) has… 
1997
1997
Competition laws and policy, which integrate political, economical, legal, and even social aspects of a society, constitute a… 
1993
1993
AbstractThis study examined the effects of presentation format on performance on mathematical test items for 114 accounting… 
1971
1971
This paper proposes to study in a systematic way some classes of test functions for optimization algorithms. Methods are provided…