Multi-objective optimal electric power planning in the power system using Gaussian bare-bones imperialist competitive algorithm

DOI10.1016/j.ins.2014.09.051zbMath1371.90125OpenAlexW1969986885MaRDI QIDQ526687

Mohammad Mehdi Ghanbarian, Mojtaba Ghasemi, Mohsen Gitizadeh, Sahand Ghavidel

Publication date: 15 May 2017

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2014.09.051

zbMATH Keywords

Gaussian bare-bones imperialist competitive algorithmmulti-objective optimal electric power planningmulti-objective optimization algorithm

Mathematics Subject Classification ID

Multi-objective and goal programming (90C29) Approximation methods and heuristics in mathematical programming (90C59)

Related Items (5)

Experiments with hybrid Bernstein global optimization algorithm for the OPF problem in power systems ⋮ An evolutionary optimization-based approach for simulation of endurance time load functions ⋮ Optimization of cascading failure on complex network based on NNIA ⋮ Optimal long-term distributed generation planning and reconfiguration of distribution systems: an accelerating Benders' decomposition approach ⋮ Application of chaos-based chaotic invasive weed optimization techniques for environmental OPF problems in the power system

Cites Work

• Rosenbrock artificial bee colony algorithm for accurate global optimization of numerical functions
• On convergence of the multi-objective particle swarm optimizers
• A study of particle swarm optimization particle trajectories
• Evolutionary Multi-Criterion Optimization

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