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Multiobjective Optimization of Parallel Cable Layout

handle: 11583/1662794
We have applied a multiobjective combinatorial optimization (MOCO) based on a vector immune system (VIS) algorithm to determine the optimal sequence of parallel cables in a multiconductor three-phase system. We build the objective function in a way that minimizes the magnetic stray field and the current unbalance of a bunch of rectilinear power cables. Our principal aim is to extend and verify the ability of the VIS algorithm to solve combinatorial problems represented by nonlinear objectives that are not usually solved in MOCO problems.
- University of Queensland Australia
- Polytechnic University of Turin Italy
- University of Queensland Australia
Combinatorial optimization, Parallel cables, 2208 Electrical and Electronic Engineering, 2504 Electronic, Magnetic stray field, Optical and Magnetic Materials, Current sharing, Artificial immune systems, Multiobjective optimization
Combinatorial optimization, Parallel cables, 2208 Electrical and Electronic Engineering, 2504 Electronic, Magnetic stray field, Optical and Magnetic Materials, Current sharing, Artificial immune systems, Multiobjective optimization
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