Accurate forecasting of electric load has always been the most important issues in the electricity industry, particularly for developing countries. Due to the various influences, electric load forecasting reveals highly nonlinear characteristics. This paper creates a system for power load forecasting using support vector machine and ant colony optimization. The method of colony optimization is ...

In an e-Learning system a learner may come across multiple unknown terms, which are generally hyperlinked, while reading a text definition or theory on any topic. It becomes even harder when one tries to understand those unknown terms through further such links and they again find some new terms that have new links. As a consequence they get confused where to initiate from and what are the prer...

We propose to make use of a completely distributed way of implementing OS services for wireless sensor networks (WSN). I.e. instead of having an instance of the OS on each node of a WSN the services of the OS are distributed over the WSN. Of course this approach implies specific challenges. Two of them are discussed in the paper: Migration of services to nodes such that the overall communicatio...

Spectrum sensing, the problem of detecting the presence of licensed user in the channel is considered in this paper. Energy detection is best suited for the spectrum sensing when prior knowledge about the primary users is unavailable. Existing works report improved versions of energy detection which primarily focuses on maximizing the detection performance. Sensing error minimization is an impo...

Abs t rac t . In this paper we introduce an Ant Colony Optimisation (ACO) algorithm for the Shortest Common Supersequence (SCS) problem, which has applications in production system planning, mechanical engineering and molecular biology. The ACO algorithm is used to find good parameters for a heuristic for the SCS problem. An island model with several populations of ants is used for the ACO algo...

This paper describes a multi-agent system architecture that would permit implementing an established and successful nature-inspired algorithm, Ant Colony System (ACS), in a parallel, asynchronous and decentralised environment. We reviewACS, highlighting the obstacles to its implementation in this sort of environment. It is suggested how these obstacles may be overcome using a pheromone infrastr...

In multi colony ant algorithms several colonies of ants cooperate in finding good solutions for an optimization problem. At certain time steps the colonies exchange information about good solutions. If the amount of exchanged information is not too large multi colony ant algorithms can be easily parallelized in a natural way by placing the colonies on different processors. In this paper we stud...

By use of the properties of ant colony algorithm and genetic algorithm, a novel ant colony genetic hybrid algorithm, whose framework of hybrid algorithm is genetic algorithm, is proposed to solve the traveling salesman problems. The selection operator is an artificial version of natural selection, and chromosomes with better length of tour have higher probabilities of being selected in the next...

This paper presents the use of a modified ant colony optimization algorithm and interactive web technologies for the problems of real-time path planning and navigation for an autonomous mobile robot. Assume that the mobile robot serves in an office building for delivering documents and packages, and all staff in different locations can assign tasks to the robot via a web-based application. Ther...