The various meta-heuristic techniques for cloud and grid environment are: Ant Colony Optimization (ACO), Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Tabu Search, Firefly Algorithm, BAT Algorithm and many more. So this paper represents the two types of meta-heuristic techniques, i.e. BAT algorithm and Genetic Algorithm. The different types of methods which comprise meta-heuristic ...

The distribution of a set of goods (such as finite allowed numbers of electronic goods, physical objects or fixed roles in an organization) amongst a set of agents with varying preferences is a complex combinatorial problem. While algorithms such as the Hungarian method exist to solve this type of Assignment Problem, these rely on central allocation with complete information about preferences, ...

The paper considers an approach to genetic optimization of Virtual Local Area Network (VLAN) scheme using the developed software — VLAN scheme design tool. Authors suggest a formal statement of the problem of VLAN scheme optimization, which solution can improve the reliability and security of operation of corporate computer networks. The paper shows that the problem considered is related to one...

Design of Cellular Manufacturing System involves four major decisions: Cell formation (CF), Group layout (GL), Group scheduling (Gs) and Resource assignment (RA).  These problems should be regarded, concurrently, in order to obtain an optimal solution in a CM environment. In this paper a two stage heuristic procedure is proposed for CF and RA decisions problem. The solution approach contains a ...

this paper is in search of designing the cellular manufacturing systems (cmss) under dynamic and flexible environment. cm is proper for small-to-medium lot production environment that helps the companies to produce variable kind of productions with at least scraps. the most important benefits of cm are decline in material handling, reduction in work-in-process, reduction in set-up time, increme...

When performing cooperative search operations underwater, multi-autonomous underwater vehicles formations may encounter array-type obstacles such as gullies and bumps. To safely traverse the obstacle domain, this paper balances convergence time, transformation distance sensor network power consumption, proposes a Formation Comprehensive Cost (FCC) model to achieve collision avoidance of formati...

During the recent recession the number of jobs lost has been widely publicized. However, lurking among this obvious and simple metric of how human capital is involved in the workforce, there is the need to analyze and predict future talent. As economic conditions are slow to improve, decisions to simply cut the traditional costs, benefits, compensation and headcount are no longer enough. Compan...

In this paper, two methods named distance and triangle methods are extended to evaluate the quality of approximation of the Pareto set from solving bi-objective problems. In order to use evaluation methods, a bi-objective problem is needed to define. It is considered the problem of scheduling jobs in a hybrid flow shop environment with sequence-dependent setup times and the objectives of minimi...