Search Results - (evolutionary OR evolution) ((selection techniques) OR (optimization techniques))

Broadening selection competitive constraint handling algorithm for faster convergence by Shaikh, T.A., Hussain, S.S., Tanweer, M.R., Hashmani, M.A.

“…ECHT is considered to be a flagship ensemble technique till date for constrained optimization problems, whereas SRDE employs a parent selection mechanism for constrained optimization. …”
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Feature selection optimization using hybrid relief-f with self-adaptive differential evolution by Zainudin, Muhammad Noorazlan Shah, Sulaiman, Md. Nasir, Mustapha, Norwati, Perumal, Thinagaran, Ahmad Nazri, Azree Shahrel, Mohamed, Raihani, Abd Manaf, Syaifulnizam

“…Differential evolution (DE) is one of the evolutionary algorithms that are widely used in various classification domains. …”
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Operating Generator Selection Applied for Reactive Power Dispatched Using Evolutionary Programming Technique by Nor Rul Hasma, Abdullah, Ismail, Musirin, Muhammad Murtadha, Othman

“…This paper presents a new approach for selecting the operating generator performed optimally using Evolutionary Programming (EP) technique in power system. …”
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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 by Md Daim, Mohd Khairil Izwan

“…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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Power System Controlled Islanding using Modified Discrete Optimization Techniques by Saharuddin N.Z., Abidin I.Z., Mokhlis H., Hassan M.Y.

“…Computer programming; Distributed power generation; Electric lines; Electric power system control; Electric power transmission; Light transmission; Particle swarm optimization (PSO); Power control; Controlled islanding; Discrete particle swarm optimization; Evolutionary programming techniques; Minimal power; Minimal power flow disruption; Modified discrete evolutionary programming technique; Modified discrete particle swarm optimization technique; Particle swarm optimization technique; Power flows; Power imbalance; Electric load flow…”

Harmonic Elimination Pulse Width Modulation Using Differential Evolution Technique For Three Phase Voltage Source Inverter by Kamisman, Norazelina

“…Differential Evolution (DE) has been gaining popularity among researchers as an effective yet simple evolutionary algorithm to solve the optimization problems. …”
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Minimization of power loss by evolutionary programming using Thyristor Controlled Series Compensators (TCSC) / Fazleza Abdul Latiff by Abdul Latiff, Fazleza

“…This approach is done by using Evolutionary Programming (EP) technique. EP search for the optimal solution by evolving a population of candidate solutions, over a number of generations or iterations. …”
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Hybrid evolutionary barnacles mating optimization: a novel technique for economic load dispatch optimization / Nor Laili Ismail ... [et al.] by Ismail, Nor Laili, Musirin, Ismail, Dahlan, Nofri Yenita, Mansor, Mohd Helmi

“…Several case studies have been selected to evaluate the efficiency of HEBMO and compare it with the existing single optimization technique, Evolutionary Programming (EP), and Barnacles Mating Optimizer (BMO). …”
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Solving unit commitment problem with solar photovoltaic and wind energy generation by using multi-agent evolutionary programming technique / Putri Azimah Salleh by Salleh, Putri Azimah

“…Several Artificial Intelligence (AI) techniques such as Multi Agent and Evolutionary Programming were combine to produce Multi Agent Evolutionary Programming (MAEP) technique. …”
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Game-theoretic differential evolution for multiobjective optimization of green sand mould system by Ganesan, T., Vasant, P., Elamvazuthi, I., Shaari, K.Z.K.

“…In addition the standard metaheuristic, differential evolution is improved using concepts from evolutionary game theory. …”
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PRODUCT MIX SELECTION USING AN EVOLUTIONARY TECHNIQUE by Vasant, Pandian

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Discrete Evolutionary Programming for Network Splitting Strategy: Different Mutation Technique by Saharuddin, Nur Zawani, Abidin, Izham Zainal, Mokhlis, Hazlie

“…Therefore, this paper investigates two different mutation techniques; single-level and three-level mutation, utilized in Discrete Evolutionary Programming (DEP) optimization to find the optimal splitting solution following a critical line outage. …”
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Multi-facts devices installation for loss minimization and techno-economic impact assessment using EPSO approach by Jumaat, Siti Amely

“…Consequently, the third objective of this research is to develop a new meta-heuristic technique termed as Evolutionary Particle Swarm Optimization (EPSO) for optimal placement and sizing of multi-unit FACTS device with single-objective problem. …”
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A meta-heuristics based input variable selection technique for hybrid electrical energy demand prediction models by ul Islam, B., Baharudin, Z.

“…These models are developed by integrating multilayer perceptron neural network and evolutionary optimization techniques. Genetic algorithm and simulated annealing techniques are used to optimize the control parameters of the neural network. …”
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Multi-facts devices installation for loss minimization and techno-economic impact assessment based on computational intelligence technique / Siti Amely Jumaat by Jumaat, Siti Amely

“…Consequently, the third objective of this research is to develop a new meta-heuristic technique termed as Evolutionary Particle Swarm Optimization (EPSO) for optimal placement and sizing of multi-unit FACTS device with single-objective problem. …”
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An Environmentally Energy Dispatch Using New Meta Heuristic Evolutionary Programming by Mohamad Ridzuan, Mohamad Radzi

“…Basically,one important issue in the power system network is to provide the optimal Economic Load Dispatch (ELD) solution in order to guarantee the sustainable consumer load demand.However,today ELD solution is essential to include together with the environmental aspect and known as Environmental Economic Load Dispatch (EELD).For that reason, many researchers continue in the development of new simulation tool specifically to overcome the EELD problems.Therefore,this study prepared an improved hybrid metaheuristic technique named as New Meta Heuristic Evolutionary Programming (NMEP) to provide the best possible solution in solving the identified single objective and multi objective functions for EELD solution.This new technique a merging cloning strategy that involved in an Artificial Immune System (AIS) algorithm into algorithm of Meta Heuristic Evolutionary Programming (Meta-EP).The development of NMEP technique is to minimize total cost,reduce the total emission during generator operation through the common formula in EELD and lowest total system loss.Besides that,all mentioned objective functions were also optimized together simultaneously that formulated using the weighted sum method before had been executed on the multi objective NMEP or called MONMEP.Both individual and multi objective NMEP techniques performance were verified among other two common heuristic methods known as AIS and Meta-EP techniques.In addition,the best possible solution defined using the aggregate function method.Through this method,the selection of the best MOEELD solution became effortless as compared with MO individually that required compare two or more objective function in one time manually.Among those three optimization techniques the lowest total aggregate values mostly resulted via the NMEP technique.Based upon that,the proposed technique is proving as the outstanding method compared with Meta-EP and AIS techniques in solving the EELD problem for both standard IEEE 26 bus and 57 bus systems.…”
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Hybrid evolutionary programming-artificial neural network-based lightning prediction system / Dalina Johari by Johari, Dalina

“…It involved the development of ANN design and embedding EP optimization technique for optimizing selected ANN parameters in order to improve the system's generalization capability.ANN, an intelligent machine learning technique, is inspired by the way our biological nervous systems process information. …”
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Optimal under-frequency load shedding (UFLS) scheme using evolutionary programming technique by Lu, Michelle

“…In literature, gradient-based nonlinear programming technique has been used to design an optimal Under-frequency Load Shedding (UFLS) scheme. …”
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Discrete evolutionary programming for network splitting strategy: Different mutation technique by Saharuddin N.Z., Abidin I.Z., Mokhlis H.

“…Therefore, this paper investigates two different mutation techniques; single-level and three-level mutation, utilized in Discrete Evolutionary Programming (DEP) optimization to find the optimal splitting solution following a critical line outage. …”

Particle swarm optimization for NARX structure selection application on DC motor model: article / Mohd I. Abdullah by Abdullah, Mohd I.

“…The BPSO algorithm is an evolutionary computing technique put forward by (Kennedy and Eberhart, 1997). …”
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