Combining of chaotic differential evolution and quadratic programming for economic dispatch optimization with valve-point effect

By Leandro dos S. Coelho, Viviana Cocco Mariani. IEEE Transactions on Power Systems, 2006

626 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/e6db03fb169aa0f73dbe012cc4606dc9f7afba58

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In Electrical and Electronic Engineering

Citations in the corpus

Economic Load Dispatch—A Comparative Study on Heuristic Optimization Techniques With an Improved Coordinated Aggregation-Based PSO (2009, methodology): “In this application the results are compared with those given by SA-PSO [2], SOH-PSO [4], BF-NM [5], UHGA [7], DE [8], HDE and STHDE [12], NPSO-LRS [15], IGAMU [16], DEC-SQP [17], ESO [18], [19], TM [20], MPSO [21], PSO-SQP [23], and IFEP [26].”
Application of pattern search method to power system valve-point economic load dispatch (2007, methodology): “In [9] deferential evolution (DE) was the primary optimizer exploiting its global search capabilities, sequential quadratic programming (SQP) was then employed to fine tune the best solution provided by DE.”
Solve environmental economic dispatch of Smart MicroGrid containing distributed generation system – Using chaotic quantum genetic algorithm (2012, methodology): “This algorithm uses the quantum probability vector encoding mechanism and adopts the genetic algorithm crossover update strategy to effectively improve the global search ability and escape the local optimal solution trap by using chaotic algorithms [39,40], so that it can achieve the real objective ”
Hybrid Particle Swarm Optimization Approach for Solving the Discrete OPF Problem Considering the Valve Loading Effects (2007, result): “Similar deviations were noted in earlier work conducted in [29] and [30] when considering the valve loading effects.”
Particle swarm approach based on quantum mechanics and harmonic oscillator potential well for economic load dispatch with valve-point effects (2008, methodology): “In this work, the penalty-based method proposed in [11] was used.”
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].”
Chaotic grasshopper optimization algorithm for global optimization (2019, methodology): “These efficient and robust algorithms are utilized to tackle various problems such as economic dispatch optimization [8], design of an IIR filter [9], node localization in wireless sensor networks [10], feature selection [11] and neural networks [12].”
Chaotic Local Search-Based Differential Evolution Algorithms for Optimization (2021, methodology): “Compared with the DEC-SQP [37] and DEGC [39], CJADE has two advantages that one is in the number of used chaotic maps, the other is the full utilization of ergodic property.”