In a distributed system it can occur that some nodes are idle or lightly loaded while others are heavily loaded. This leads to the opportunity of improving the performance of a distributed system as a whole by remote execution and migrating jobs from heavily-loaded nodes to idle or lightly-loaded nodes. It is the task of the distributed scheduler to schedule processes to nodes (processors) in s...

The construction site layout (CSL) design presents a particularly interesting area of study because of its relatively high level of attention to usability qualities, in addition to common engineering objectives such as cost and performance. However, it is difficult combinatorial optimization problem for engineers. Swarm intelligence (SI) was very popular and widely used in many complex optimiza...

multiple traveling salesman problem (mtsp) is one of the most popular operation research problem and is known as combinatorial optimization problems. mtsp is an extension version of the famous and widely used problem named traveling salesman problem (tsp). because of its benefices in various domains, many researchers have tried to solve that, and many methods have proposed so far. mtsp is a np-...

Modelling the behavior of social insects has attracted much research recently. Although honey–bees exhibit many features that encourage their use as models for intelligent behavior, up to our knowledge, no attempt for using honey-bees as a basis for optimization has been made in the literature. Some of the features that distinguish honey–bees are division of labor, communication on the individu...

Abstract— In this paper, a simple Fourier series based algorithm has been used to achieve stable locomotion in an NAO biped robot, with 22 degrees of freedom that implemented in a virtual physics-based simulation environment of Robocup soccer simulation environment. The algorithm uses a Truncated Fourier Series (TFS) to generate control signal for the biped robot. To find the best angular traje...

Artificial bee colony (ABC), an optimization algorithm is a recent addition to the family of population based search algorithm. ABC has taken its inspiration from the collective intelligent foraging behavior of honey bees. In this study we have incorporated golden section search mechanism in the structure of basic ABC to improve the global convergence and prevent to stick on a local solution. T...

The artificial bee colony (ABC) algorithm is a swarm-based optimization technique proposed for solving continuous optimization problems. The artificial agents of the ABC algorithm use one solution update rule during the search process. To efficiently solve optimization problems with different characteristics, we propose the integration of multiple solution update rules with ABC in this study. T...

abstract— in this paper we have tried to develop an altered version of the artificial bee colony algorithm which is inspired from and combined with the meta-heuristic algorithm of firefly. in this method, we have tried to change the main equation of searching within the original abc algorithm. on this basis, a new combined equation was used for steps of employed bees and onlooker bees. for this...

In today’s businesses, service-oriented architectures represent the main paradigm for IT infrastructures. Indeed, the emergence of Internet made it possible to set up an exploitable environment to distribute applications on a large scale, and this, by adapting the notion of “service”. With the integration of this paradigm in Business to Business Domain (B2B), the number of web services becomes ...