This research work, proposes an ABC (Artificial Bee Colony Optimization) based framework, motivated by the intelligent behavior of honey bees to automate the test suite optimization process. Here, the bees are implemented as agents that perform the test suite optimization activities seamlessly. Since, the ABC system combines local search methods carried out by employed and onlooker bees with gl...

Software testing plays a vital role during the software development process, as it ensures quality deployment. Success of depends on design effective test cases. To achieve optimization generated cases, proposed approach combines both global and local searches by means intelligent agents which exhibit behaviour employed bees, onlooker scout bees in qABC algorithm. The algorithm has key improvem...

Design a new novel intelligence algorithm which is called as chaotic quantum bee colony optimization (CQBCO) for discrete optimization problem. The proposed CQBCO applies the chaotic theory to quantum bee colony optimization (QBCO), which is an effective discrete optimization algorithm. Then the proposed chaotic quantum bee colony algorithm is used to solve benchmark functions and optimization ...

In this paper a hybrid model called Particle Swarm Artificial Bee Colony algorithm (PSABC) has been proposed. The PSABC algorithm is a combination of Particle Swarm Optimization (PSO) and Artificial Bee Colony (ABC) Algorithm. PSABC has been used in this context to optimize the fitness value of a population in ABC algorithm using Particle Swarm Optimization. PSABC could be used to optimize the ...

In this work, we propose a variant of the Honey-bee Mating Optimization Algorithm for solving educational timetabling problems. The honey-bee algorithm is a nature inspired algorithm which simulates the process of real honey-bees mating. The performance of the proposed algorithm is tested over two benchmark problems; exam (Carter’s un-capacitated datasets) and course (Socha datasets) timetablin...

Among all types of electrical motors, permanent magnet synchronous motors (PMSMs) are reliable and efficient motors in industrial applications. Because of their superiority over other kinds of motors, they are replacing conventional electric motors. On the other hand, high-phase PMSMs are good candidates to be used in certain industrial and military projects such as electric vehicles, spacecraf...

This paper describes the first application of the Bees Algorithm to multi-objective optimisation problems. The Bees Algorithm is a search procedure inspired by the way honey bees forage for food. A standard mechanical design problem, the design of a welded beam structure, was used to benchmark the Bees Algorithm. The results obtained show the robust performance of the Bees Algorithm.

Character recognition is an important task in pattern analysis that aims to give significance to handwritten data without users’ intervention. Although, an intensive research has been devoted to this problem, it remains a challenging task as humans need to interact with computer in the easiest way. This work attempts to incorporate some meta-heuristics as guidelines searching for the best solut...