the ability to discover services in mobile ad hoc network (manet) is a major prerequisite. cluster basedcross layer intelligent service discovery for manet (cbisd) is cluster based architecture, caching ofsemantic details of services and intelligent forwarding using network layer mechanisms. the cluster basedarchitecture using semantic knowledge provides scalability and accuracy. also, the mini...

Objectives: To propose a novel hybrid control plan to enhance the power quality (PQ) of distributed energy sources (DERs) such as solar (SE), wind (WE), and battery storage system (BEES) technologies. Method: A BEES, PV farm, farm are integrated into grid supply home loads. The ABMO-ANN is method that combines Hybrid Barnacles Mating Optimization Algorithm (HBMO) Artificial Neural Network (ANN)...

plug-in hybrid electric vehicles (phev) technology shows great interest in the recent scientificliteratures. vehicle-to-grid (v2g) is a interconnection of energy storage of phevs and grid. byimplementation of v2g dependencies of the power system on small expensive conventional units canbe reduced, resulting in reduced operational cost. this paper represents an intelligent unitcommitment (uc) wi...

Generally the generation units in the traditional structure of the electricity industry try to minimize their costs. However, in a deregulated environment, generation units are looking to maximize their profits in a competitive power market. Optimum generation planning in such structure is urgent. This paper presents a new method of solving economic dispatch in the competitive electricity marke...

Algorithms inspired by intelligent behavior of simple agents are very popular now a day among researchers. A comparatively young algorithm motivated by extraordinary behavior of Spider Monkeys is Spider Monkey Optimization (SMO) algorithm. SMO algorithm is very successful algorithm to get to the bottom of optimization problems. This work presents a self-adaptive Spider Monkey optimization (SaSM...

This paper studies wireless sensor networks node deployment problem and proposes intelligent single particle optimizer based wireless sensor networks adaptive coverage. According to the probability model measure characteristic of wireless sensor nodes, the method adaptively determines the optimal deployment of sensor nodes using intelligent single particle optimizer, achieving sensor node based...

Marriage in Honey Bees Optimization (MBO) is a new swarm intelligence technique inspired by the marriage process of honey bees. It has been shown to be very effective in solving the propositional satisfiability problem known as 3–SAT (each clause has exactly three literals). The objective of this paper is to test a conventional annealing approach as a basis for determining the pool of drones (f...

Abstarct: This paper presents an algorithm for solving the multi-objective reactive power dispatch problem in a power system. Modal analysis of the system is used for static voltage stability assessment. Loss minimization and maximization of voltage stability margin are taken as the objectives. Generator terminal voltages, reactive power generation of the capacitor banks and tap changing transf...

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...