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In this work a new improved version of Teatching Learnning Based Optimization algorithm, TLBO, is proposed. The new strategy is obtained by tne inclusion of the Bat Algorithm, BA, random local search part in the optimization process with TLBO algorithm. The developped hybrid algorihm is applied jointly with 2D non-linear finite elment method to solv the Team workshop problem 25.
In order to reduce the traffic load in cellular network and improve the data rates for users located in an indoor environment the Femtocells are used to solve the poor indoor coverage problem. It represents a cost-effective solution compared to other solutions such as Picocells and distributed antenna systems. However, if the signal-to-noise ratio is high then UEs can receive good throughput. For...
Economic load dispatch (ELD) is one of the main tools for optimal operation and planning of modern power systems. To solve effectively the ELD problem, most of the conventional calculus methods rely on the assumption that the fuel cost characteristic of a generating unit is a smooth and convex function, resulting in inaccurate dispatch. This paper presents the design and application of a new efficient...
This paper exposes a novel optimization technique named Water Cycle Algorithm (WCA) for solving Economic Dispatch (ED) problem considering practical generator constraints as Prohibited Operating Zones (POZ) and Ramp Rate Limits (RRL) for smooth and non-smooth fuel cost curve of objective function without and with valve point effect, respectively. The proposed technique is applied on three test systems...
This paper introduces compact music-inspired computing. We propose a music-inspired optimization technique with minimal computational cost. The aim is to reduce the memory storage capacity required by the classical harmony search algorithm (HSA) while improving their performance. Therefore, we propose three compact harmony search algorithms. The main idea is to represent the harmonies stored in the...
Compact evolutionary algorithms (cEAs) are optimization algorithms that require minimal computational cost. They do not require the storage of the population but they represent it by a distribution function. In all known cEAs, normal probability of density function (N-PDF) is used. In this paper, in order to improve the performance of cEAs and to reduce their complicity, we propose a more simple distribution...
This paper present multi-objective optimization for optimal multi DG location and sizes in radial networks. The objectives fitness considered are minimize active power losses and maximize voltage stability. The hybrid technique based on NSGA-II and Fuzzy logic is used to determine optimal solutions. The proposed technique is tested on diversesizes of IEEE distribution network (10bus, 33bus and 85bus)...
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