Memetic computing is a subject in computer science which considers complex structures
such as the combination of simple agents and memes, whose evolutionary interactions lead …

Differential Evolution (DE) is a simple and efficient optimizer, especially for continuous
optimization. For these reasons DE has often been employed for solving various …

Memetic Algorithms (MAs) are computational intelligence structures combining multiple and
various operators in order to address optimization problems. The combination and …

This article deals with optimization problems to be solved in the absence of a full power
computer device. The goal is to solve a complex optimization problem by using a control …

Dynamic optimization problems challenge traditional evolutionary algorithms seriously since
they, once converged, cannot adapt quickly to environmental changes. This paper …

This paper proposes the scale factor local search differential evolution (SFLSDE). The
SFLSDE is a differential evolution (DE) based memetic algorithm which employs, within a …

Memetic computing is a subject in computer science which considers complex structures as
the combination of simple agents, memes, whose evolutionary interactions lead to intelligent …

Migrating birds optimisation (MBO) is a new nature-inspired metaheuristic for combinatorial
optimisation problems. This paper proposes an improved MBO to minimise the total flowtime …

This paper proposes the employment of multiple scale factor values within distributed
differential evolution structures. Four different scale factor schemes are proposed, tested …

This paper proposes a novel and unconventional Memetic Computing approach for solving
continuous optimization problems characterized by memory limitations. The proposed …