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We propose a family of algorithms based on hierarchical objectives including complete algorithms and heuristics which integrate network design with path planning, recognising the impact of obstacles on mobility and communication.
The Hierarchical, Objectives Based Process Model (HOBPM) [22], proposes a multi-layer, hierarchical model, which includes objectives-based processes and sub-processes that are applicable to various layers of abstraction, and to which additional layers of detail can easily be added, as needed.
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The FAHP problem can be divided into four hierarchical levels: objective, criteria, sub-criteria, and alternatives.
The AHP problem can be divided in four hierarchical levels: objective, criteria, sub-criteria, and alternatives.
This study presents a hierarchical multi-objective optimization over multiple scales of hybrid laminated composites.
The hierarchical multi-objective policy optimization is a policy-centric multi-level bottom-up iterative approach, designed from a developing country perspective, utilizing the optimality principle of dynamic programming.
In this paper, the concept of hierarchical multi-objective optimization is applied to analog integrated circuit placement automation, where current-flow and current-density considerations are taken to improve the reliability and, reduce post-layout routing-induced parasitics of the circuit.
According to Triantaphyllou and Mann, "the AHP is a decision support tool which uses a multi-level hierarchical structure of objectives, criteria, subcriteria, and alternatives.
To evaluate the primary study objectives, hierarchical multiple linear regression analyses were used, with Lp(a -C a -Che dependent vasiable.
The results show that a multi-objective hierarchical GA (MOHGA) that includes elitism and mechanism for diversity preserving performed better than a single-objective GA that only uses elitism, when solving large-scale MRAOPs.
A new method for Modular Neural Network optimization based on a Multi-objective Hierarchical Genetic Algorithm is proposed in this paper.
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