self-adaptive harmony search
Voltage and Frequency Based Optimal Load Shedding using Improved Self Adaptive Harmony Search Algorithm
... Abstract: This study presents, two load shedding scheme that are simulated on IEEE-14 bus systems are voltage dependent priority based approach and voltage and frequency based NVSI methods. The frequency-based method is ...
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Generalised adaptive harmony search: A comparative analysis of modern harmony search
... cited. Harmony search (HS) was introduced in 2001 as a heuristic population-based optimisation ...exploratory harmony search, self-adaptive harmony search, and ...
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Cosine Harmony Search (CHS) for Static Optimization
... Improved Harmony Search (IHS) [13], Improved Global-Best Harmony Search Algorithm (IGHS) [14], Global-Best Harmony Search (GHS) [15], Self- Adaptive Harmony ...
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An Enhanced Cooperative Harmony Search Algorithm for Solving Optimization Problems
... Hybrid harmony search and artificial bee colony algorithm for global optimization problems have introduced the artificial bee colony algorithm is a new swarm intelligence technique inspired by intelligent ...
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Adaptive Novel Global Harmony Search Algorithm for Function Optimization Problems
... [2]. Harmony search algorithm (HS) is another novel meta-heuristic intelligent optimization algorithm that Geem et ...the harmony process of musicians creating music ...the harmony ...
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Robust circle detection using Harmony Search
... the search space that HS optimises ...of search space even those that are highly discontinuous, multimodal, and not ...the search space, even if it is small compared to the size of the search ...
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In search of Pan-American indigenous health and harmony
... Finally, it is an enormous undertaking to retrieve and review all current published literature on all indigenous populations in the Western hemisphere, particularly due to the nature of publications, narrowly focused ...
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Solving Haplotype Assembly Problem Using Harmony Search
... The particle swarm optimization (PSO) method is much like GA. In this method, first a population of random solutions is generated and each of these solutions moves in the search space to get optimized. PSO has no ...
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RANKING THE INFLUENCE USERS IN A SOCIAL NETWORKING SITE USING AN IMPROVED TOPSIS METHOD
... the harmony is iteratively be improvised to improve its quality; solutions are also iteratively be improved in the optimization process to improve their quality, f(S) ...
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Harmony Search and Cellular Automata in Spatial Optimization
... C O C (15) This operative concept expressed by Equation (15) has been introduced in conjunction to a genetic algorithm for spatial optimization problems in [2], where more details can be found. Here, it will be embedded ...
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A Hybrid Feature Selection Method Based On Harmony Search
... Harmony search is a improvisation process of musicians. Music harmony is a kind of beautiful sound combination which comes from the aesthetic ...variable. Harmony memory consists of the ...
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Design of Power System Stabilizer Using Harmony Search Algorithm
... of Harmony Search Algorithm control parameters for the power systems presently to maintain ...Nowadays Harmony Search Algorithm based controller is one of the most important controllers in ...
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A Binary Harmony Search Algorithm for Solving the Maximum Clique Problem
... The random algorithm generates each harmony in the initial harmony memory as follows. First, a vertex is selected at random and initially put in a subset named .Then, a vertex is selected from 's adjacency ...
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Random Forest with Harmony Search Optimization For Location Based Advertising
... Abstract: Location based services are essential for the mobile user for obtaining the information based on the specific location. Initially, the location information is obtained using the GIS system for getting accurate ...
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Parametric Optimization of Face Milling Using Harmony Search Algorithm
... The cost, time and quality of production are highly dependent on the cutting parameters such as the number of passes, depth of cut, speed, and feed. So, determination of optimal cutting parameters with regard to ...
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A Novel Approach for Feature Selection based on the Bee Colony Optimization
... Evolutionary algorithms such as Tabu Search [7], Harmony Search [10] and Genetic Algorithms GA [13,14] are general high-level procedures that coordinate simple heuristics and rules to fi[r] ...
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Meta Heuristics Algorithms: A Survey
... native search-based meta-heuristic algorithm [37]. Tabu Search is fully based on the designation of the neighborhood and activities converting a solution to its neighboring ...Tabu Search, is that: ...
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A harmony search algorithm for nurse rostering problems
... local search based meta-heuristic algorithms developed to solve NRPs include GAs [12, 13], TS [14, 15], SA [16, 17] and many ...scatter search algorithm and memetic algorithm (population-based) were better ...
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Software Module Clustering using a Fast Multi-objective Hyper-heuristic Evolutionary Algorithm
... This paper presents a new metaheuristic Multi-objective Hyper-heuristic Evolutionary Algorithm (MHypEA) which is a hyper-heuristic based multi-objective evolutionary algorithm for the solution of multi-objective software ...
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HARMONY SEARCH OPTIMIZATION FOR UPFC PLACEMENT
... The process of generating a new harmony from the HM, which is generated randomly through memory considerations, pitch adjustment and memory update, may be called an iteration. The iterations are continued till the ...
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