genetic algorithms
Acoustic Performance of Exhaust Muffler Based Genetic Algorithms and Artificial Neural Network
... value genetic algorithm combined with powerful approximation ability of artificial neural network can effectively solve this ...of genetic algorithms and neural networks in automatic control, ...
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PENGGUNAAN LINEAR PROGRAMMING DAN GENETIC ALGORITHMS DALAM MENYELESAIKAN TIME-COST TRADE-OFF PROBLEM | Septianus | Jurnal Dimensi Pratama Teknik Sipil 1691 3125 1 SM
... Dunia konstruksi dikenal dengan permasalahannya yang sangat kompleks dan tingkat ketidakpastian yang tinggi. Hal ini hampir terjadi pada semua proyek konstruksi sehingga menyulitkan manajer proyek untuk menyelesaikan ...
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Optimization Electrical Circuit's Parameter Using Genetic Algorithms (GAs).
... Genetic Algorithms were developed over twenty-five years ago, but there is not so much research and experimental work has been down to ascertain their capabilities in solving complex and considerable ...
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A Distribution Network Reconfiguration (DNR) Of 132/11KV Distribution Network Using Improved Genetic Algorithms (IGA).
... thus genetic algorithm is used to ensure that the DNR process is completed ...improved genetic algorithm (IGA) is applied to IEEE 69 bus system to verify the validity and effectiveness of the proposed ...
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Conference paper
... This paper integrates genetic algorithms and fuzzy logic as a genetic fuzzy system (GFS) for modeling dynamic urban growth. The proposed approach is applied for modeling urban growth in Tehran ...
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Genetic Optimization of Neural Networks for Person Recognition Based on the Iris
... with genetic algorithms (GAs), which are essentially a method that creates a population of individuals to find the most appropriate one by simulating evolution ...the genetic algorithms with ...
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Application of Genetic Algorithms and Hybrid Fuzzy-Genetic Algorithm for Optimal Control of LTC and Shunt Capacitor on Unbalanced Distribution System
... Abstract --The unbalanced conditions are taken into account in the Volt/VAr control of distribution system. The aim of the control is to simultaneously minimize energy loss and improve voltage profile. The optimization ...
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Development of Multiobjective Genetic Algorithms for Agri-Food Supply Chain Design by Considering Global Climate Change
... Although, there were many research works on or related to agri-food supply chains, most of them used conventional techniques, such as linear programming (Apaiah and Hendrix, 2004), dynamic programming (Gigler, et.al ...
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Directory UMM :Journals:Journal_of_mathematics:OTHER:
... Abstract. Fuzzy System (FS) and Artificial Neural Networks (ANN) are complementary methods. But while ANN can learn from data FS cannot. Also, Genetic Algorithms (GA) are complementary to FS. While the FS ...
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Timetable Management Using Genetic Algorithms | Sampebatu | Widya Teknik 1 SM
... The Delphi (Object Pascal) is the language of choice for this project because of its high speed and low memory usage. The timetabling problem is combinatorial in nature hence the need for a programming language that has ...
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OPTIMIZATION OF FROZEN FOOD DISTRIBUTION USING GENETIC ALGORITHMS
... is Genetic Algorithm. The genetic algorithm is a search technique in computer science to provide optimal solutions to the complex issues such as planning and production scheduling, scheduling lectures, ...
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Intership supervisor selection using genetic algorithms.
... The genetic algorithm approach in selecting internship supervisors on studying, reviewing and examining was literature review focuses in this study. The first section starts with a brief introduction to an ...
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Optimal Control Of Autonomous Underwater Vehicle (AUV) Using Genetic Algorithms.
... . Objective in this project is to overcome the current weaknesses, by implementing GA in Matlab environment for stability control and obstacle avoidance purpose. Genetic algorithm is a search technique used in ...
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Conference paper
... In this study, a geospatial model for land use allocation was developed from the view of simulating the biological autonomous adaptability to environment and the infrastructural preference. The model was developed based ...
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Enhanced Symbiotic Organisms Search (ESOS) for Global Numerical Optimization
... However, there are limitations of existing metaheuristic methods. For example, GA uses complicated operators (on selection and crossover), often trapped in local optima, and has a weak local search capability [12]. PSO ...
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Analisis Kinerja Greedy Crossover (Gx) Pada Algoritma Genetika Untuk Rostering
... Kumar, V., Dutta, D., Roy, R. & Choudhury, K. 2013. An overview of methods maintaining diversity in genetic algorithms . International Journal of Advanced Research in Computer Science and Software ...
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Papadakis Tzionas Kaburlasos Theocharis
... possible combinations is feasible. On the contrary, for a large set of candidates’ inputs the number of combinations is prohibitively high. In general, the minimization of the measure given in (6) can be formulated as a ...
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Directory UMM :Journals:Journal_of_mathematics:OTHER:
... recent algorithms for Multiobjective Optimization is ...followings algorithms: Strength Pareto Evolutionary Algorithm (SPEA), Pareto Archived Evolution Strategy (PAES), Nondominated Sorting Genetic ...
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SILEBR 2008 002.
... several algorithms of learning theories used in earlier grammatical approaches such as Principles and Parameters, including the triggered learning algorithm, cue learning, the minimum description length method and ...
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Application of Genetic Algorithm for the Optimization of Energy Saving Glass Coating Structure Design.
... Attenuation of GSM, GPS and personal communication signal leads to poor communication inside the building using regular shapes of energy saving glass coating. Thus, the transmission is very low. A brand new type of band ...
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