Evolutionary algorithms (EAs) are well-known optimization approaches to deal with
nonlinear and complex problems. However, these population-based algorithms are …

Evolutionary algorithms (EAs) are well-known optimization approaches to deal with
nonlinear and complex problems. However, these population-based algorithms are …

Although the concept of the opposition has an old history in other fields and sciences, this is
the first time that it contributes to enhance an optimizer. This chapter presents a novel …

Evolutionary algorithms (EAs) are well-known opti-mization approaches to deal with
nonlinear and complex problems. However, these population-based algorithms are …

Although the concept of the opposition has an old history in other fields and sciences, this is
the first time that it contributes to enhance an optimizer. This chapter presents a novel …

Evolutionary algorithms (EAs) are well-known opti-mization approaches to deal with
nonlinear and complex problems. However, these population-based algorithms are …

Evolutionary algorithms (EAs) are well-established techniques to approach those problems
which for the classical optimization methods are difficult to solve. Tackling problems with …

Although the concept of the opposition has an old history in other fields and sciences, this is
the first time that it contributes to enhance an optimizer. This chapter presents a novel …

Evolutionary algorithms (EAs) are well-established techniques to approach those problems
which for the classical optimization methods are difficult to solve. Tackling problems with …

Evolutionary algorithms (EAs) are well-established techniques to approach those problems
which for the classical optimization methods are difficult to solve. Tackling problems with …