Optimization is the process of finding best possible solutions a problem. It has been widely used in various areas especially engineering problems. One common issues that faced by some manufacturers drilling sequences multiple holes. By holes with least total path length, manufacturer can save lot time and it increase productivity company. Thus, this study focuses on problem which solved other ...

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...

— Effective methods for solving the complex and noisy engineering problems using a finite sequence of instructions can be categorised into optimisation and meta-heuristics algorithms. The latter might be defined as an iterative search process that efficiently performs the exploration and exploitation in the solution space aiming to efficiently find near optimal solutions. Various natural intell...

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...

Problem Statement: Cloud Computing is the fast growing technology, which shares the resource to achieve consistency and economies of scale similar to a utility over a network. Resource sharing requires more optimized algorithm. Approach: In traditional many static algorithms are proposed, but all these algorithms do not produce optimal job scheduling and load balancing. In order to reduce the w...

The artificial bee colony (ABC) algorithm has been a well-known swarm intelligence algorithm, which assimilates the cooperating behavior of bees when seeking for nectar sources. Aiming to improve the conventional ABC algorithm, we focus on the re-initialization phase. In this paper, an overall-degradation-oriented artificial bee colony (OD-ABC) algorithm is proposed, pursuing to fight against p...

The bin packing problem is a classic combinatorial optimisation that widely used in various applications such as assembly line balancing, scheduling, and time-tabling. Metaheuristic algorithms can provide solutions to these problems faster than exact methods. Bees Algorithm, metaheuristic algorithm inspired by the foraging activity of bees, known for its performance solving problems. To our bes...

The task to generate product design concepts to maintain a particular brand identity whilst meeting functional requirements is challenging to designers. Shape grammars have been shown to be able formally to describe the creation of branded product shapes using a set of shape rules. These shape rules are applied manually to generate a family of new design concepts that maintain the brand identit...

We developed a mathematical model and an algorithm for numerical treatment of a model of honeycomb construction in a beehive. The model contains essential features of the bee-bee and bee-wax interactions, and in a qualitative way captures the dynamics of parallel comb construction. The construction is represented by a set of dynamical coupled partial differential equations for the density of be...