An Improved Tabu Search for Economic Dispatch with Multiple Minima

By Whei-Min Lin, F. Cheng, M. Tsay. IEEE Power Engineering Review, 2002

597 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/4f6c847bf0b18ae7e9b27d74c2db5260c8b0b144

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In Electrical and Electronic Engineering

Citations in the corpus

Application of Particle Swarm Optimization to Economic Dispatch Problem: Advantages and Disadvantages (2006, background): “Over the past few years, in order to solve these problems, many salient methods have been developed such as genetic algorithm (GA) [6], evolutionary programming (EP) [7], [8], Tabu search [9], neural network approaches [10], and PSO based approaches [11]-[15].”
Nonconvex Economic Dispatch With AC Constraints by a New Real Coded Genetic Algorithm (2009, methodology): “Several methods such as dynamic programming (DP) [6], evolutionary programming (EP) [7], improved fast EP (IFEP) [8], a fast EP using the weighted mean of Gaussian and Cauchy mutations, called MFEP [8], tabu search (TS) [9], genetic algorithm (GA) [4], [10], hybrid EP combined with sequential quadra”
Differential Evolution-based Dynamic Economic Dispatch of Generating Units with Valve-point Effects (2008, background): “The stochastic search algorithms (such as particle swarm optimization (PSO) [5], genetic algorithm (GA) [7], evolutionary programming (EP) [8, 9], simulated annealing (SA) [10, 11], and the tabu search algorithm (TSA) [12]) may prove to be very effective in solving non-linear economic dispatch probl”
A New Particle Swarm Optimization Solution to Nonconvex Economic Dispatch Problems (2007, methodology): “The GA[10], GA combined with simulated annealing (SA) [11], evolutionary programming (EP)[12], improved Tabu search (ITS)[13], improved fast EP (IFEP) [14], modified PSO (MPSO) with a dynamic search-space reduction strategy [15], and evolutionary strategy optimization (ESO) [16] are the modern heuri”
Taguchi method for solving the economic dispatch problem with nonsmooth cost functions (2005, methodology): “However, this method suffers from the “curse of dimensionality” leading to high computational cost despite the use of zoom feature [14], [19], or the method may lead to local optimal solutions when avoiding the problem of “curse of dimensionality” [9], [ 10 ].”
A GA-API Solution for the Economic Dispatch of Generation in Power System Operation (2012, background): “Methods such as genetic algorithm (GA) [10]–[12], evolutionary programming (EP) [8], simulated annealing (SA) [3], [13], neural network (NN) [14], fuzzy logic [15], Tabu search [16], and particle swarm optimization techniques (PSO) [7], [17]–[20] are only a few examples that solve the nonconvex econ”
A particle swarm optimization for economic dispatch with nonsmooth cost functions (2005, methodology): “In both cases, the problems have multiple minima, therefore, the task of finding the global solution still remains to be tackled [7], [14]–[16].”
Quantum-Inspired Particle Swarm Optimization for Valve-Point Economic Load Dispatch (2010, background): “2030359 search (TS) [9], pattern search (PS) [10], genetic algorithm (GA) [11], differential evolution (DE) [12], and particle swarm optimization (PSO) [13].”
Economic dispatch using particle swarm optimization: A review (2009, background): “Modern heuristic optimization techniques proposed by researchers based on operational research and artificial intelligence concepts, such as evolutionary programming [13–16], genetic algorithm [17–21], simulated annealing [22–24], ant colony optimization [25,26], Tabu search [27,28], neural network ”