Tuning of the system and the controller parameters always constituted an important part of the control applications in power system. These processes need complex mathematical calculations including derivative elements classically. However, these nowadays accomplished more easily and in shorter times, using by iterative optimization approaches such as evolutionary or swarm intelligence based met...

This paper presents the applications of computational intelligence techniques to economic load dispatch problems. The fuel cost equation of a thermal plant is generally expressed as continuous quadratic equation. In real situations the fuel cost equations can be discontinuous. In view of the above, both continuous and discontinuous fuel cost equations are considered in the present paper. First,...

Mobile ad hoc networks are infrastructure-less networks consisting of wireless, possibly mobile nodes that are organized in peer-to-peer and autonomous fashion. The highly dynamic topology, limited bandwidth availability and energy constraints make the routing problem a challenging one. The Swarm Intelligence paradigm has recently been used in solving the routing problem in static computer netw...

Economic load dispatch is a non linear optimization problem which is of great importance in power systems . While analytical methods suffer from slow conversion and curse of dimensionality particle swarm optimization can be an efficient alternative to solve large scale non linear optimization problem.A lot of advancements have been done to modify this algorithm. This paper presents an overview ...

This paper touches upon the philosophical concept of evil in the context of creativity in general, and computational creativity in particular. In this work, dark creativity is introduced and linked to two important pre-requisites of creativity (i.e. freedom and constraints). A hybrid computational system is then presented; it includes one swarm intelligence algorithm, Stochastic Diffusion Searc...

Swarm intelligence is an innovative distributed intelligent paradigm whereby the collective behaviors of unsophisticated individuals interacting locally with their environment cause coherent functional global patterns to emerge. Although the swarm algorithms have exhibited good performance across a wide range of application problems, it is difficult to analyze the convergence. In this paper, we...

Swarm robotics is a new area of interest that’s inspired from biological system of ants, birds and other social systems for solving different optimization problem. This paper work out to find the optimal path using particle swarm optimization algorithm and dijkstra’s algorithm, these algorithms are used to find the shortest path between different nodes. Different path can exist from one node to...

Recently we have proposed a new class of swarm optimization algorithms called the Multiagent Coordination Optimization (MCO) [1]–[3] algorithm inspired by swarm intelligence and consensus protocols for multiagent coordination in [4]–[7]. This new algorithm is a new optimization technique based not only on swarm intelligence [8] which simulates the bio-inspired behavior, but also on cooperative ...

Multilevel thresholding is one of the most popular image segmentation techniques. This paper presents a new multilevel maximum entropy thresholding method based on modified seeker optimization (MSO) algorithm. In the proposed method the thresholding problem is treated as an optimization problem and solved by using the MSO metaheuristics. Particle swarm optimization (PSO) algorithm is also imple...