evolutionary programming (computer science)
A comparison of genetic algorithms and evolutionary programming in conceptual software design
... In an attempt to support the software engineer during conceptual software design, the authors have proposed that the benefits of engineering design search-based approaches may be applied to conceptual software design and ...
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Application of Evolutionary Programming Method to Solve a Hydro Thermal System Problem
... The evolutionary programming (EP) is essentially a search algorithm based on the mechanism of natural selection and natural genetics. It combines solution evaluation with randomized, structured exchange of ...
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Medium term load forecasting using evolutionary programming least square support vector machine
... namely Evolutionary Programming- Least-Square Support Vector Machine (EP-LSSVM) to forecast a medium term load ...using Evolutionary Programming (EP) optimization technique for accurate ...
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A hyper heuristic approach to automated generation of mutation operators for evolutionary programming
... genetic programming (GP) as an offline hyper-heuristic to automat- ically evolve probability distributions, to use as mutation operators in evolutionary programming ...many programming ...
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A DNR And DGs Sizing Concurrently By Using Combination Of SOM And Evolutionary Programming
... The Evolutionary Programming uses as the primarily on mutation operators to get the solutions of function optimization problems ...of Evolutionary Algorithms ...self-adaptive evolutionary ...
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Reactive Power Planning Using Evolutionary Programming For IEEE 26-Bus
... Nonlinear Programming (NLP), and Mixed Integer Nonlinear Programming (MINLP) ...(SA), Evolutionary Algorithms (EAs), Differential Evaluation (DE) and Tabu Search (TS) [21] ...as Evolutionary ...
24
Distribution network reconfiguration by using evolutionary programming (EP) for minimizing power losses
... Evolutionary programming from genetic mechanisms, is a random search ...on evolutionary programming and considered both objects of minimum power loss and branch load balancing with considering ...
24
Automated Synthesis Of Mobile Game Environments And Rulesets Using A Hybridized Interactive Evolutionary Programming Approach
... hybridizing Evolutionary Programming (EP) with Interactive Evolutionary Algorithm (IEA), game rules and its playing environment will be automatically generated for an arcade-type game that can be ...
6
Solving economic dispatch (ED) problem using Artificial Immune System, Evolutionary Programming and particle swarm optimization
... application Evolutionary Programming (EP), Artificial Immune System (AIS), and Particle Swarm Optimization (PSO) techniques for solving an economic dispatch (ED) ...
5
Solving DOPF in VSWGs Integrated Power System Using Improved Evolutionary Programming
... non-linear programming problem when considering the valve-point effect of conventional ...improved evolutionary programming (IEP) is proposed to solve DOPF in VSWGs integrated power ...well-known ...
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The Distribution Network Reconfiguration By Using Multipopulation Evolutionary Programming (MPEP) For Loss Minimizing
... The advantages of distribution feeders by changing the open/ closed status of its sectionalizing and tie switches in order to find a real power loss reduction, balancing system load, bus[r] ...
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Investigation into the robustness of Evolutionary Programming Regression for sedimentation study
... Using data provided by Department of Irrigation and Drainage (DID), Ministry of Natural Resources and Environment Malaysia, new sediment transport model was develop using Evolutionary Polynomial Regression ...
7
Chaotic local search based algorithm for optimal DGPV allocation
... Immune Evolutionary Programming (CMIEP) algorithm is used as the optimization method while the chaotic mapping was employed in the local search for optimal location and sizing of ...with Evolutionary ...
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Application of EP to Multiple Fuel Options Economic Dispatch
... dynamic programming (DP), [9] Tabu search, [4] genetic algorithm (GA), [5, 11] evolutionary programming (EP), [10] hybrid EP combined with sequential quadratic programming (EP-SQP), and [12] ...
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Genetic Algorithm Optimization for Thermal Generating Unit Scheduling and Economic Dispatch Evaluation
... an evolutionary programming based genetic algorithm approach for the solution of multi-constrained complex unit commitment and economic dispatch problem in electrical power ...an evolutionary ...
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Grey Wolf Optimization for Economic Load Dispatch with Valve-Point Effects
... linear programming, Interior point method and dynamic programming have been used to solve the basic economic dispatch problem ...Dynamic programming method [2] can solve such types of problems, but ...
8
Multi facts devices installation for loss minimization and techno economic impact assessment based on computational intelligence technique
... Linear programming (LP), Non-linear programming (NL), Quadratic programming (QP), and Interior point ...(GA), Evolutionary Programming (EP), Evolutionary Strategy (ES), Genetic ...
66
Control system design applications with hybrid genetic algorithms
... EKF Extended Kalman Filter EP Evolutionary Programming ES Evolutionary Strategies ESA Eigen-Structure Assignment ETA Event Tree Analysis FDF Fault Detection Filter FDI Fault Detection an[r] ...
260
NMEP based Gaussian Mutation Process on Optimizing Fitness Function for MOEED
... (ACO), Evolutionary Programming (EP) and Artificial Immune System Algorithm (AIS) ...[3]-[5]. Evolutionary Programming (EP) is introduced by Lawrence ...Heuristic Evolutionary ...
7
Review on application and comparison of metaheuristic techniques to multi-area economic dispatch problem
... et al. [2] presented the Dantzig–Wolfe decomposition principle to the constrained economic dispatch of multi-area systems. An application of linear program- ming to transmission constrained production cost ana- lysis was ...
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