Results 51 to 60 of about 11,497,181 (207)
MultiObjective Optimization using Evolutionary Computation Techniques
International Journal of Computer Applications, 2011 paper an EP and PSO based optimization algorithms have been proposed for solving optimal power flow problems with multiple objective functions. These algorithms take into consideration all the equality and inequality constraints. The improvement in system performance is based on reduction in cost of power generation and active power loss.
CH. Saibabu +2 more
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Evolutionary Computation and Its Applications in Neural and Fuzzy Systems
Applied Computational Intelligence and Soft Computing, 2011 Neural networks and fuzzy systems are two soft-computing paradigms for system modelling. Adapting a neural or fuzzy system requires to solve two optimization problems: structural optimization and parametric optimization.
Biaobiao Zhang +3 more
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Electricity Peak Load Forecasting using CGP based Neuro Evolutionary Techniques
International Journal of Computational Intelligence Systems, 2016 Proficient Economic and Financial planning is critical to the successful and efficient operation of power generating and distributing units. This planning becomes quite facile if the accurate and precise knowledge regarding the required power load is ...
Gul Muhammad Khan, Rabia Arshad
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A Review of Gait Optimization Based on Evolutionary Computation
Applied Computational Intelligence and Soft Computing, 2010 Gait generation is very important as it directly affects the quality of locomotion of legged robots. As this is an optimization problem with constraints, it readily lends itself to Evolutionary Computation methods and solutions.
Daoxiong Gong, Jie Yan, Guoyu Zuo
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Improving the Giant-Armadillo Optimization Method
AnalyticsGlobal optimization is widely adopted presently in a variety of practical and scientific problems. In this context, a group of widely used techniques are evolutionary techniques.
Glykeria Kyrou +2 more
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A Comparison of Evolutionary Computation Techniques for IIR Model Identification
Journal of Applied Mathematics, 2014 System identification is a complex optimization problem which has recently attracted the attention in the field of science and engineering. In particular, the use of infinite impulse response (IIR) models for identification is preferred over their ...
Erik Cuevas +5 more
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Introduction to Evolutionary Machine Learning Techniques
, 2019 This section first provides an overview of the machine learning field in artificial intelligence (AI). The most well-regarded classes of methods in AI are discussed to show where AI optimization algorithms and machine learning techniques fit in.
Mirjalili, Seyedali +2 more
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The International Journal of Advanced Manufacturing Technology, 2018 GurRaj Singh +3 more
semanticscholar +2 more sources
Optimizing transmission line parameter estimation with hybrid evolutionary techniques
IET Generation, Transmission & DistributionPower flow, planning, economics, dispatch, and stability analysis rely on accurate transmission line parameters (TLPE). Standard optimization methods are employed to develop such analyses and obtain TLPE.
Muhammad Suhail Shaikh +4 more
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Journal of Intelligent Systems, 2018 Data mining techniques support numerous applications of intelligent transportation systems (ITSs). This paper critically reviews various data mining techniques for achieving trip planning in ITSs.
Anand Sesham +3 more
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