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Optimal Power Flow Using Evolutionary Algorithms

of power system operation yields valuable economic information and insight into power flow. Optimal Power Flow Using Evolutionary Algorithms;

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Optimal Power Flow Using Evolutionary Algorithms

of power system operation yields valuable economic information and insight into power flow. Optimal Power Flow Using Evolutionary Algorithms;

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Optimal Power Flow Using FACTS Devices

Optimal Power Flow Using FACTS Devices: Soft Computing Techniques develops intelligent algorithms to analyze optimal power flow (OPF) and;

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MultiObjective Optimization using Evolutionary Algorithms

solutions. It has been found that using evolutionary algorithms is a highly effective way of finding multiple effective solutions in a single;

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Mathematical Models and Algorithms for Power System Optimization

. It introduces economic dispatching, generator maintenance scheduling, power flow, optimal load flow, reactive power planning, load frequency;

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Load Flow Optimization and Optimal Power Flow

This book discusses the major aspects of load flow, optimization, optimal load flow, and culminates in modern heuristic optimization;

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Load Flow Optimization and Optimal Power Flow 2 Power Systems Handbook

This book discusses the major aspects of load flow, optimization, optimal load flow, and culminates in modern heuristic optimization;

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Metaheuristic Optimization in Power Engineering

algorithms, particle swarm optimization, and the gravitational search algorithm. Applications covered include power flow calculation; optimal power;

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Multi-Objective Optimization Using Evolu

multiple objectives, which leads to the need to obtain a set of optimal solutions, known as effective solutions. It has been found that using;

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Particle Swarm for Optimal Power Flow Including Wind-Power

utility owns wind turbines or not. The optimal power flow (OPF) is solved by using one of the modern optimization algorithms: the particle swarm;

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Archiving Strategies for Evolutionary Multi-objective Optimization Algorithms

of the sets of optimal and nearly optimal solutions of multi-objective optimization problems by means of stochastic search algorithms. All;

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Archiving Strategies for Evolutionary Multi objective Optimization Algorithms

of the sets of optimal and nearly optimal solutions of multi-objective optimization problems by means of stochastic search algorithms. All;

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Bio-Inspired Algorithms in PID Controller Optimization

of the frequency deviations, tie-line power flow deviations, and the area control error are included, supported by examples. The book also;

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Bio-Inspired Algorithms in PID Controller Optimization

of the frequency deviations, tie-line power flow deviations, and the area control error are included, supported by examples. The book also;

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Power System Economic and Market Operations

fundamentals of power system operation, economic dispatch (ED), optimal power flow (OPF), and unit commitment (UC). The book covers electricity pricing;

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Classical and Evolutionary Algorithms in the Optimization of Optical Systems

Classical and Evolutionary Algorithms in the Optimization of Optical Systems presents research results in the field of classical and;

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Swarm Intelligence and Evolutionary Algorithms in Healthcare and Drug Development

using Swarm and Evolutionary algorithms. Focuses on applying Swarm Intelligence and Evolutionary Algorithms for Heart Disease detection;

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Applied Evolutionary Algorithms for Engineers using Python

This book meant for those who seek to apply evolutionary algorithms to problems in engineering and science. To this end, it provides the;

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Flow Networks

possibility of optimal control of very large and complex networks in real time. Furthermore, the possibility for re-optimizing the network flows;

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Intelligent Algorithms for Analysis and Control of Dynamical Systems

This book explores various intelligent algorithms including evolutionary algorithms, swarm intelligence-based algorithms for analysis and;

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Optimal Capacity Planning of Distributed Generators

-phase optimal power flow (UM-OPF) is also presented. During the formulation of the UM-OPF, an optimisation algorithm is developed in Matlab and;

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Evolutionary Algorithms and Neural Networks

challenges that have to be addressed when training artificial neural networks using evolutionary algorithms are discussed in detail. The book also;

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Evolutionary Algorithms

Evolutionary algorithms are bio-inspired algorithms based on Darwin s theory of evolution. They are expected to provide non-optimal but;

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Multimodal Optimization by Means of Evolutionary Algorithms

, parallel evolutionary algorithms, and global optimization. The author explains niching in evolutionary algorithms and its benefits; he;

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Advances in Evolutionary Algorithms Research

The field of evolutionary algorithms produces various theoretical approaches that help search for global optima within complex environments;

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Classical and Recent Aspects of Power System Optimization

for power system studies. The classic aspects of optimization in power systems, such as optimal power flow, economic dispatch, unit commitment;

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Algorithms and VLSI Implementations of MIMO Detection

their hardware realisation. The book begins by analysing the maximum likelihood detector, which provides the optimal bit error rate performance;

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