This paper introduces an optimal placement and tuning of robust multi-machine Power System Stabilizer (PSS) using Honey Bee Mating Optimization (HBMO). This problem is formulated as an optimization problem, which is solved using HBMO technique. Hence the proposed approach employs HBMO to search for optimal location and parameters settings of a widely used Conventional fixed-structure lead-lag P...

Damping of low frequency electromechanical oscillations is very important for a safe system operation. The fast acting, of a static synchronous compensator (STATCOM) which is capable of improving both steady state and dynamic performance permits newer approaches to system stabilization. This paper presents a novel methodology for tuning STATCOM based damping controller in order to enhance the d...

The Bee Colony Optimization (BCO) meta-heuristic deals with combinatorial optimization problems. It is biologically inspired method that explores collective intelligence applied by the honey bees during nectar collecting process. In this paper we perform empirical study of the BCO algorithm. We apply BCO to optimize numerous numerical test functions. The obtained results are compared with the r...

The Nurse Rostering Problem is an NP-hard combinatorial optimization, scheduling problem for assigning a set of nurses to shifts per day by considering both hard and soft constraints. A novel metaheuristic technique is required for solving Nurse Rostering Problem (NRP). This work proposes a metaheuristic technique called Directed Bee Colony Optimization Algorithm using the Modified Nelder-Mead ...

Social Spider Optimization (SSO) algorithm is a swarm intelligence optimization algorithm based on the mating behavior of social spiders. Numerical simulation results have shown that SSO outperformed some classical swarm intelligence algorithms such as Particle Swarm Optimization (PSO) algorithm and Artificial Bee Colony (ABC) algorithm and so on. However, there are still some deficiencies abou...

A novel Cooperative Bee Swarm Optimization (CBSO) algorithm based on foraging behaviour of honey bees is presented. The CBSO employs cooperative behaviours of multiple swarms in optimizing numerical functions. The proposed approach provides different patterns which are used by the bees to adjust their flying trajectories. The flying patterns provide an efficient way to balance exploration and e...

In present time, in medical line there are many techniques have been researched for detect the TUMOR from human brain (medical image). Many techniques are available, Brain cancer detection in magnetic resonance images (MRI) is important in medical diagnosis because it provides information associated to anatomical structures as well as potential abnormal tissues necessary to treatment planning a...

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 ...

Proctor assignment refers to assigning proctors to examinations with the objective of having the appropriate number of proctors assigned to examinations, subject to conditions such as minimizing the load of proctoring and preventing any conflicting assignments. This problem is intractable, and hence, heuristics algorithms are needed to find good solutions. In this paper, we propose a new soluti...

Bee breed is an important factor in determining bee family development and productivity, as it affects honey production, disease resistance, climate adaptation, behaviour characteristics. The purpose of the study was to establish relationship between methods mating queens morphological characteristics bees Ukrainian steppe productive indicators colonies. To conduct research, 43 colonies with qu...