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Differential evolution and pattern search (DE-PS) are used as meta-heuristic optimization tools to solve optimal capacitor placement problem.
Differential evolution and pattern search are used as metaheuristic optimization tools to solve optimal capacitor placement problem.
A novel stochastic optimization approach to solve optimal bidding strategy problem in a pool based electricity market using fuzzy adaptive gravitational search algorithm (FAGSA) is presented.
This paper employs an efficacious analytical tool, adaptive simplified human learning optimization (ASHLO) algorithm, to solve optimal power flow (OPF) problem in AC/DC hybrid power system, considering valve-point loading effects of generators, carbon tax, and prohibited operating zones of generators, respectively.
The purpose of this paper is to present different approaches used in France by CNES and ONERA to solve optimal control problems in the context of launcher trajectory optimization.
To solve optimal control problems, we can exploit recent advances in numerical optimization for control design, including convex optimization and relaxation methods.
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The proposed algorithm is numerically faster than the general mathematical optimization methods used for solving optimal resource allocation problems.
This paper proposes a binary particle swarm optimization (BPSO) with time-varying acceleration coefficients (TVAC) for solving optimal placement of wind turbines within a wind farm.
A multivariable optimization was conducted with propulsion specifications and propellant consumptions obtained by solving optimal control problems for a lunar soft landing.
GAMS is capable of successfully solving optimal problems by solving algorithms built into the program [28].
In our applications, no non-trivial results could be provided, for instances not being solved optimal.
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