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The comparison results with other evolutionary optimization methods demonstrate that NM PSO with the embedded constraint operator proves to be extremely effective and efficient at locating optimal solutions.
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We report experiments carried out with our equipped car and a GIS whose characteristics are well adapted to embedded constraints.
This paper proposes embedding constraint handling methods, which include the gradient repair method and constraint fitness priority-based ranking method, in NM PSO as a special operator to deal with satisfying constraints.
The optimal slope that satisfies our embedding constraint can thus be obtained as follows: (19).
To meet the minimum embedding constraint, the total number of bits embedded from each DCT block must be equal to : (20).
The extrapolative capability of these models is enhanced by embedding constraints within them, based on engineering judgment and operating experience.
In an actual power grid planning project, instead of embedding constraints in the grid planning model, short circuit currents are calculated after determining the power grid planning result.
In existing literature, while incorporating N-1 constraints into transmission expansion models is common practice [18, 19, 20, 21, 22], embedding constraints of short circuit currents into transmission expansion planning models is not thoroughly discussed.
After introducing the basic principle of the PSO, a particle swarm optimization algorithm embedded with constraint fitness priority-based ranking method is proposed in this paper to solve nonlinear programming problem.
For simulating the real behavior of the bolts used in the proposed connection, embedded region constraint was used in ABAQUS platform.
Such techniques are very challenging to design due to a combination of NAND Flash constraints (e.g., block-erase-before-page-rewrite constraint and limited number of erase cycles) and embedded system constraints (e.g., tiny RAM and resource consumption predictability).
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