Artificial Bee Colony (ABC) algorithm is one of the most recently introduced swarm-based algorithms. ABC simulates the intelligent foraging behaviour of a honeybee swarm. In this work, ABC is used for optimizing a large set of numerical test functions and the results produced by ABC algorithm are compared with the results obtained by genetic algorithm, particle swarm optimization algorithm, dif...

Electric power line overhaul plan is an important issue on power system and engineering practice. As particle swarm optimization is to be a new intelligent algorithm. It is gradually applied into power system these years. This paper provides a relative mathematical model to solve the problems in power line overhaul. Particle swarm optimization algorithm has advantages of less parameters setting...

Particle swarm optimization techniques are typically made up of a population of simple agents interacting locally with one another and with their environment, with the goal of locating the optima within the operational environment. In this paper, a robust and intelligent particle swarm optimization framework based on multi-agent system is presented, where learning capabilities are incorporated ...

In this work Artificial Intelligence (AI) techniques like Fuzzy logic, Genetic Algorithms and Particle Swarm Optimization have been used to improve the performance of the Automatic Generation Control (AGC) system. Instead of applying Genetic Algorithms and Particle swarm optimization independently for optimizing the parameters of the conventional AGC with PI controller, an intelligent tuned Fuz...

In this paper we present the Ant Intelligent Robot (AIR), a miniature mobile platform designed for swarm robotic research and education. The proposed system has a modular and distributed architecture that provides the necessary versatility, robustness and user accessibility to enable the study of a broad range of applications, while achieving a low cost. We also present a comparison between AIR...

Multi-objective optimization is widely applied in a number of areas now-a-days. Unfortunately, many combinatorial multi-objective optimization problems are NP-hard. However, it is often unnecessary to have an exact solution. So, heuristic approach can obtain a near-optimal solution in some reasonable time with the smallest possible computational burden. Intelligent Water Drops algorithm (IWD) a...

Using many inexpensive rovers in place of single costly ones is an idea that has been gaining attention in the last decade. How to effectively control those rovers is an open question, but swarming is an attractive option to present. While much research in the field investigates intelligent swarming, recent research has shown that the unintelligent swarm is an effective control mechanism for th...

The area of collective and cooperative behaviour in swarm robots is an exciting field of study. Recent technological and economic developments have made it possible to build medium to large scale swarms of quite sophisticated mobile robots. We review recent mobile computing technologies and describe our architecture for a swarm of tri-wheeled robots that can exchange information via wireless ar...

Abstract— Particle Swarm Optimization (PSO) algorithm is swarm intelligence based algorithm which is used for solving optimization problem. PSO simulates the intelligent foraging behavior of a flock of birds. This paper presents a modification in PSO and develops an algorithm called Highly Convergent Particle Swarm Optimization (HCPSO) algorithm, in which the velocity of particle is made to be ...

This paper presents the application of the PSO (Particle Swarm Optimization) as a tool to solve the Traveling Salesman Problem. The proposed application consists of using a technique based on Artificial Intelligent – AI. It is based in the simulation of social interaction between individuals of a population. Here, each element of population moves in the hyper-space and they are attracted by pos...