Search Results - (solutionary OR evolution) programming technique
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Comparative study of optimal power flow using evolutionary programming and immune evolutionary programming technique in power system / Mohd Khairil Izwan Md Daim
Published 2006“…This project presents a new technique for solving the optimal power flow problem, in a power system using an Evolutionary Programming and Immune Evolution Programming optimization technique. …”
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HEAT EXCHANGER NETWORK SYNTHESIS AND OPTIMIZATION BY PINCH ANALYSIS AND DIFFERENTIAL EVOLUTION METHOD
Published 2016“…This metadology way uses an algorithm which combines Pinch Design Method and Differential Evolution Method. In this technique, the Heat Exchanger Network synthesis is carried out in three levels. …”
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Comparative Study of Economic Dispatch by Using Various Optimization Techniques
Published 2014“…The optimization techniques used in this paper to do the comparison are Quadratic Programming (QP), Artificial Bee Colony (ABC), Particle Swarm Optimization (PSO), Simulated Annealing (SA), Differential Evolution (DE) and Genetic Algorithm (GA). …”
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Economic power dispatch solution with non-smooth cost functions using differential evolution: article / Muhammad Firdaus Abd Rahim
Published 2011“…This thesis proposes a solution for Economic Dispatch problems with non-smooth cost functions using Differential Evolution (DE) algorithm. This technique is to minimize system cost by properly allocating the real power demand amongst the online generating units considering the valve point loadings. …”
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Metric-based code smell detection technique for python software
Published 2018“…Lastly, this research found that code smells increases in Python programs with evolution and, lazy class and improper method declaration should be prioritized in SDK domain.…”
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Economic power dispatch solution with non-smooth cost functions using differential evolution / Muhammad Firdaus Abd Rahim
Published 2011“…This thesis proposes a solution for Economic Dispatch problems with non-smooth cost functions using Differential Evolution (DE) algorithm. This technique is to minimize system cost by properly allocating the real power demand amongst the online generating units considering the valve point loadings. …”
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A hybrid optimization technique for solving economic emission load dispatch problems
Published 2023text::Final Year Project -
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Minimization of power loss by evolutionary programming using Thyristor Controlled Series Compensators (TCSC) / Fazleza Abdul Latiff
Published 2007“…The best generation of power loss can be obtained after running EP program. The technique was tested on the 12-Bus Radial Distribution System. …”
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Computational intelligence based approach for enhanced distance relay design
Published 2024text::Final Year Project -
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Modification of species-based differential evolution for multimodal optimization
Published 2015“…Optimization problem is the problem of maximizing or minimizing a function of one variable or many variables, which include unimodal and multimodal functions. Differential Evolution (DE), is a random search technique using vectors as an alternative solution in the search for the optimum. …”
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Tap changer optimisation using embedded differential evolutionary programming technique for loss control in power system
Published 2023“…A new optimization technique termed as embedded differential evolutionary programming (EDEP) is proposed, which integrates the traditional differential evolution (DE) and evolutionary programming (EP). …”
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Digital technologies evolution in swiftlet farming: a systematic literature review
Published 2024“…Biotechnology, by combining genetic selection and breeding programs, effectively connects with the IoT, enabling constant monitoring and control of the health and genetic traits of swiftlets. …”
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CSC577 - Software Engineering: Theories and Principles / College of Computing, Informatics and Media
Published 2022“…This course introduces the theories and practices of Software Engineering, which includes software processes, requirement analysis, design, programming practices, verification and validation and software evolution for a large system. …”
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CSC577: Software Engineering: theories and principles / College of Computing, Informatics and Mathematics
Published 2018“…This course introduces the theories and practices of Software Engineering, which includes software processes, requirement analysis, design, programming practices, verification and validation and software evolution for a large system. …”
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Vehicle routing problem: models and solutions
Published 2008“…Among the recently applied heuristic techniques are genetic algorithm, evolution strategies and neural networks…”
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A study on biomolecular sequence alignment using machine learning techniques
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