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Enrique González-Núñez, Luis A. Trejo and Michael Kampouridis
This research aims at applying the Artificial Organic Network (AON), a nature-inspired, supervised, metaheuristic machine learning framework, to develop a new algorithm based on this machine learning class. The focus of the new algorithm is to model and ...
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Marko Gulic and Martina ?u?kin
In this paper, a hybrid nature-inspired metaheuristic algorithm based on the Genetic Algorithm and the African Buffalo Optimization is proposed. The hybrid approach adaptively switches between the Genetic Algorithm and the African Buffalo Optimization du...
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Fevrier Valdez, Oscar Castillo and Patricia Melin
In recent years, new metaheuristic algorithms have been developed taking as reference the inspiration on biological and natural phenomena. This nature-inspired approach for algorithm development has been widely used by many researchers in solving optimiz...
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Gabriel García-Gutiérrez, Diego Arcos-Aviles, Enrique V. Carrera, Francesc Guinjoan, Emilia Motoasca, Paúl Ayala and Alexander Ibarra
The main benefits of fuzzy logic control (FLC) allow a qualitative knowledge of the desired system?s behavior to be included as IF-THEN linguistic rules for the control of dynamical systems where either an analytic model is not available or is too comple...
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Anis Aklima Kamarudin,Zulaiha Ali Othman,Hafiz Mohd Sarim
Pág. 63 - 66
The water flow-like algorithm (WFA) is a relatively new metaheuristic algorithm, which has shown good solution for the Travelling Salesman Problem (TSP) and is comparable to state of the art results. There are various factor influence the performance of ...
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