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Journal ArticleDOI

Fast evolutionary programming techniques for short-term hydrothermal scheduling

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TLDR
Numerical results show that EP-algorithm with better of Gaussian and Cauchy mutations was the best amongst all EPs in terms of convergence rate, solution time and success rate.
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This article is published in Electric Power Systems Research.The article was published on 2003-08-01. It has received 182 citations till now. The article focuses on the topics: Evolutionary programming.

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Book ChapterDOI

Dynamic multi-objective optimization and decision-making using modified NSGA-II: a case study on hydro-thermal power scheduling

TL;DR: This systematic study is able to find a minimum frequency of change allowed in a problem for two dynamic EMO procedures to adequately track Pareto-optimal frontiers on-line and suggest an automatic decision-making procedure for arriving at a dynamic single optimal solution on- line.
Journal ArticleDOI

An MILP Approach for Short-Term Hydro Scheduling and Unit Commitment With Head-Dependent Reservoir

TL;DR: A model is presented that takes into account the head effects on power production through an enhanced linearization technique, and turns out to be more general and efficient than those available in the literature.
Journal ArticleDOI

Short-term scheduling of hydrothermal power system with cascaded reservoirs by using modified differential evolution

TL;DR: In this article, a modified differential evolution (MDE) algorithm is presented for solving short-term hydrothermal scheduling problem, which is an improved version of a genetic algorithm, is a very simple, fast and robust global optimisation technique.
Journal ArticleDOI

Application of a fuzzy neural network combined with a chaos genetic algorithm and simulated annealing to short-term load forecasting

TL;DR: A fuzzy neural network combined with a chaos-search genetic algorithm (CGA) and simulated annealing (SA) applied to short-term power-system load forecasting as a sample test demonstrates an encouraging degree of accuracy superior to other commonly used forecasting methods available.
Journal ArticleDOI

Particle swarm optimization technique based short-term hydrothermal scheduling

TL;DR: Particle swarm optimization is applied to determine the optimal hourly schedule of power generation in a hydrothermal power system and it is found that the convergence characteristic is excellent and the results obtained are superior in terms of fuel cost and computation time.
References
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Book

Power Generation, Operation, and Control

TL;DR: In this paper, the authors present a graduate-level text in electric power engineering as regards to planning, operating, and controlling large scale power generation and transmission systems, including characteristics of power generation units, transmission losses, generation with limited energy supply, control of generation, and power system security.
Journal ArticleDOI

Evolutionary programming made faster

TL;DR: A "fast EP" (FEP) is proposed which uses a Cauchy instead of Gaussian mutation as the primary search operator and is proposed and tested empirically, showing that IFEP performs better than or as well as the better of FEP and CEP for most benchmark problems tested.
Book ChapterDOI

Artificial Intelligence through Simulated Evolution

TL;DR: This chapter contains sections titled: References Artificial Intelligence through a Simulation of Evolution Natural Automata and Prosthetic Devices and Artificial intelligence through a simulation of Evolution natural automata and prosthetic devices.
Book

Evolutionary Computation: Towards a New Philosophy of Machine Intelligence

TL;DR: In-depth and updated, Evolutionary Computation shows you how to use simulated evolution to achieve machine intelligence and carefully reviews the "no free lunch theorem" and discusses new theoretical findings that challenge some of the mathematical foundations of simulated evolution.
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