LN de Castro - Physics of Life Reviews, 2007 - Elsevier
Natural computing is a terminology introduced to encompass three classes of methods:(1) those that take inspiration from nature for the development of novel problem-solving …
Energy is a vital resource for human activities and lifestyle, powering important everyday infrastructures and services. Currently, pollutant and non-renewable sources, such as fossil …
In their original versions, nature-inspired search algorithms such as evolutionary algorithms and those based on swarm intelligence, lack a mechanism to deal with the constraints of a …
Solving constrained optimization problems (COPs) with evolutionary algorithms (EAs) is a popular research direction due to its potential and diverse applications. One of the key …
In this study, we use a new metaheuristic optimization algorithm, called bat algorithm (BA), to solve constraint optimization tasks. BA is verified using several classical benchmark …
Z He, GG Yen, J Zhang - IEEE Transactions on Evolutionary …, 2013 - ieeexplore.ieee.org
Evolutionary algorithms have been effectively used to solve multiobjective optimization problems with a small number of objectives, two or three in general. However, when …
Memetic Algorithms (MAs) are computational intelligence structures combining multiple and various operators in order to address optimization problems. The combination and …
T Takahama, S Sakai - IEEE congress on evolutionary …, 2010 - ieeexplore.ieee.org
The ε constrained method is an algorithm transformation method, which can convert algorithms for unconstrained problems to algorithms for constrained problems using the ε …
During the last three decades, several constraint handling techniques have been developed to be used with evolutionary algorithms (EAs). According to the no free lunch theorem, it is …