Memetic computation is a paradigm that uses the notion of meme (s) as units of information
encoded in computational representations for the purpose of problem-solving. It covers a …

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

Artificial bee colony (ABC) optimisation algorithm is a relatively simple and recent population-
based probabilistic approach for global optimisation. The solution search equation of ABC is …

Artificial bee colony (ABC) optimization algorithm is relatively a simple and recent population
based probabilistic approach for global optimization. ABC has been outperformed over …

Introduction Discrete optimization concerns in essence the search for a “best” configuration
(optimal solution) among a set of finite candidate configurations according to a particular …

Abstract Artificial Bee Colony (ABC) algorithm has been emerged as one of the latest Swarm
Intelligence based algorithm. Though, ABC is a competitive algorithm as compared to many …

The nature-inspired algorithms (NIAs) have shown efficiency to solve many complex real-
world optimisation problems. The efficiency of NIAs is measured by their ability to find …

Optimal power flow (OPF) is the most requisite tool in the power system analysis. The OPF is
relatively a difficult constrained optimisation problem and broadly solved by conventional as …

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

Artificial bee colony (ABC) optimisation algorithm is relatively a simple and recent population-
based probabilistic approach for global optimisation. ABC has been outperformed over …