Swarm intelligence (SI) is briefly defined as the collective behaviour of decentralized and
self-organized swarms. The well known examples for these swarms are bird flocks, fish …

Most of the optimization problems encountered in the real world are discrete type which
involves decision variables defined in the discrete search space. Binary optimization …

This study extensively presents the Automatic Generation Control (AGC) application of
Artificial Bee Colony (ABC) algorithm. This algorithm is one of the new population based …

In this study, Artificial Bee Colony (ABC) algorithm is applied to the Automatic Voltage
Regulator (AVR) system for obtaining optimal control. The tuning performance of this …

In recent years, swarm intelligence has proven its importance for the solution of those
problems that cannot be easily dealt with classical mathematical techniques. The foraging …

Abstract The Artificial Bee Colony (ABC) algorithm is a swarm intelligence approach which
has initially been proposed to solve optimisation of mathematical test functions with a unique …

Abstract The Cognitive Radio Network (CRN) in 5G heterogeneous network has trade-off
between energy efficiency and spectrum sensing efficiency. Energy Efficiency is important …

Most swarm intelligence algorithms were devised for continuous optimization problems.
However, they have been adapted for discrete optimization as well with applications in …

Selection of the optimal values of different operating parameters is of utmost importance for
enhancing the performance of various non-traditional machining (NTM) processes. The …

In this paper, a pigeon-inspired fuzzy multi-objective optimization algorithm is proposed for
task allocation of multiple unmanned aerial vehicles tracking multiple ground targets in …