Congestion management is a task performed by Independent System Operator (ISO) to ensure the operation of transmission system within limits. In an emerging electric power market, congestion management is highly important and inefficient management can be a barrier to electricity trading. To minimize congestion, it is required to maximize transmission line generation and decrease its cost. A Hyb...

Scheduling tasks on computational grids is known as NPcomplete problem. Scheduling tasks in Grid computing, means assigning tasks to resources such that the time termination and average waiting time criteria and the number of required machines are optimized. Based on heuristic or meta-heuristic search have been proposed to obtain optimal solutions. The presented method tries to optimize all of ...

The Software Cost Estimation is very important task for completing the project successfully. The estimation in software development depends on various factors especially on cost and effort factors for which further AI (Artificial Intelligence) and Algorithmic models have been put into usage. This paper aims to discuss the methods for calculating the effort by using meta-heuristic algorithms for...

Artificial bee colony (ABC) algorithm is an optimization algorithm based on a particular intelligent behaviour of honeybee swarms. This work compares the performance of ABC algorithm with that of differential evolution (DE), particle swarm optimization (PSO) and evolutionary algorithm (EA) for multi-dimensional numeric problems. The simulation results show that the performance of ABC algorithm ...

This paper illustrates successful implementation of three evolutionary algorithms, namelyParticle Swarm Optimization (PSO), Artificial Bee Colony (ABC) and Bacterial Foraging Optimization (BFO) algorithms to economic load dispatch problem (ELD). Power output of each generating unit and optimum fuel cost obtained using all three algorithms have been compared. The results obtained show that ABC a...

To further improve the performance of artificial bee colony algorithm (ABC), a new hybrid ABC (HABC) for global optimization is proposed via exploring six initialization methods. Furthermore, to balance the exploration and exploitation abilities, a new search mechanism is also developed. The algorithms are applied to 27 benchmark functions with various dimensions to verify its performance. Nume...

8 used in many application fields such as medical image analysis to characterize and 9 detect anatomical structures, robotics features extraction for mobile robot locali10 zation and detection and map procession for lines and legends finding. Many 11 techniques have been developed in the field of image segmentation. Methods based 12 on intelligent techniques are the most used such as Genetic Al...

Assembly line balancing is significant for efficient and cost effective production of the products and is therefore gaining popularity in recent years. However, several uncertain events in assembly lines might causes variation in the task time and due to these variations there always remains a possibility that completion time of tasks might exceed the predefined cycle time. To hedge against thi...

Artificial bee colony optimization (ABC) is a fast and robust algorithm for global optimization. It has been widely used in many areas including mechanical engineering. Biogeography -Based Optimizat ion (BBO) is a new biogeography inspired algorithm. It mainly uses the biogeography-based migration operator to share the information among solutions. In this work, a hybrid algorithm with BBO and A...