2018 IEEE Symposium Series on Computational Intelligence (SSCI) 2018
DOI: 10.1109/ssci.2018.8628849
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Iterative-Lengthening and Auxiliary Search Based Particle Swarm Optimization for Online Short-term Hydrothermal Scheduling

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(2 citation statements)
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“…the searchability was proved to be improved. Reference [131] has taken the actual online data for solving the CSTHTS problem claiming that the already predicted data of STHTS is static and might be inaccurate, and then applied auxiliary search based PSO algorithm, which is based on the concept of iterative-lengthening and auxiliary search, to solve CSTHTS problem.…”
Section: B Particle Swarm Optimization Algorithms Applied On Sthts Problemmentioning
confidence: 99%
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“…the searchability was proved to be improved. Reference [131] has taken the actual online data for solving the CSTHTS problem claiming that the already predicted data of STHTS is static and might be inaccurate, and then applied auxiliary search based PSO algorithm, which is based on the concept of iterative-lengthening and auxiliary search, to solve CSTHTS problem.…”
Section: B Particle Swarm Optimization Algorithms Applied On Sthts Problemmentioning
confidence: 99%
“…Table 8 summarizes implementation of PSO and its variants for STHTS. [92], [94], [97], [105], [110], [112], [124], [128], [134] Near With different neighborhood topologies [92], [123], [130] Constriction factor PSO [113], [115], [117], [129] Hybrid of PSO and Evolutionary programming [95] Updating Inertia weights PSO [106] Quantum behaved PSO [98], [99], [127] Modified adaptive PSO [100] Self-organizing hierarchical PSO [101], [102] Time varying acceleration coefficients PSO [103], [122] Improved PSO [96], [104], [109] Efficient PSO [107] Mixed-binary evolutionary PSO [111] Dynamically controlled PSO [114], [125] Hybrid of PSO and DE [116], [121] Hybrid of PSO and direct search method [118] Enhanced PSO [120] Auxiliary search based PSO [131] Hybrid of PSO and GSA [132] Fully informed PSO [135] Accelerated PSO [136], [137] FIGURE 9. Year wise distribution of arti...…”
Section: B Particle Swarm Optimization Algorithms Applied On Sthts Problemmentioning
confidence: 99%