This paper proposes a variation of the Multiple Ant Colony System for Vehicle Routing Problem with Time Windows (MACS-VRPTW) algorithm, which is based on an Ant Colony System approach, using two ant colonies to minimize first the number of vehicles and then the total traveled distance. As an improvement, the present work proposes to use a modified version specialized for a multiobjective contex...

through a collection of cooperative agents called ants, the near optimal solution to the multi-reservoir operation problem may be effectively achieved employing ant colony optimization algorithms (acoas). the problem is approached by considering a finite operating horizon, classifying the possible releases from the reservoir(s) into pre-determined intervals, and projecting the problem on a grap...

-In this article two different optimization algorithms are presented to solve the deficiency of ant colony algorithm such as slow convergence rate and easy to fall into local optimum. This method based on Max-Min Ant System, established an adaptive model for pheromone evaporation coefficient adjusted adaptively and avoided the ants falling into local optimum. At the same time, this optimization...

Within few years Mobile Ad -hoc has fetched more attention due to plug and play infrastructure less network. Mobile Ad hoc wireless networks consist entirely of wireless nodes, placed together in an impromptu manner, i.e. with minimal forethought. All device/nodes have routing capabilities and forward data packets for other devices in multi hop fashion. Device/nodes can enter or leave the syste...

A well-known Ant Colony System algorithm for the Sequential Ordering Problem is studied to identify its drawbacks. Some criticalities are identified, and an Enhanced Ant Colony System method that tries to overcome them, is proposed. Experimental results show that the enhanced method clearly outperforms the original algorithm and becomes a reference method for the problem under investigation.

For the shortcoming that the PI controller parameters can’t been dynamic tuning in constant voltage control system of doubly-fed wind turbines, a PI controller parameters dynamic tuning strategy based on the ant colony optimization (ACO) algorithm is presented. This strategy makes the two parameters in PI controller as the ant of the ant colony, the controlled absolute error integral function t...

-The ant colony optimization takes insipiration from the foraging behavior of some ant species.These ants deposits pheromone on the ground in order to make some suitable path that should be followed by other members of the colony.The goal of this paper is to introduce ant colony optimization and to survey its most notable applications.In this paper we focus on some research efforts directed at ...

This paper overviews origin and some applications of ant system of optimization. Ants live in colonies. The colony can be regarded as a multiagent organization where each agent performs independently as governed by goal of colony survival.. On observing the behavior of ants, Ant-Algorithm was proposed. The ant algorithms have been extensively studied by European researchers. These algorithms ha...

The fixed-charge Capacitated Multi-commodity Network Design (CMND) is a well-known problem of both practical and theoretical significance. Network design models represent a wide variety of planning and operation management issues in transportation telecommunication, logistics, production and distribution. In this paper, Ant Colony Optimization (ACO) based neighborhoods are proposed for CMND pro...

This paper introduces one of the most profound Swarm Intelligence-based approaches, namely Ant Colony Optimization (ACO). The different operators in ACO and their effect on the quality of solution are briefly discussed. The ACO algorithms variants like Ant System (AS), Elitist Ant System (EAS), Rankbased Ant System (ASrank), Min-Max based Ant System (MMAS) are detailed. The paper puts forth a s...