On exact n-step domination


We also prove a related conjecture of Alavi et al. A subset S of vertices of G is a hop dominating set if every vertex outside S is 2-step dominated by some vertex of S. ON EXACT N-STEP DOMINATION. A set S of vertices in a graph G is a 2-step dominating set of G if every vertex is 2-step dominated by some vertex of S. Under an Elsevier user license. A Matrix Approach to Group Convolutional Codes. Цитируемость, нормализованная по журналу, рассчитывается путем деления числа цитирований, полученных данной статьей, на среднее число цитирований, полученных статьями такого же типа в этом же журнале, опубликованных в этом же году.
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Abstract Multi-objective formulations are realistic models for many complex engineering optimization problems. Coit b Alice E. Recommended articles Citing articles 0. Author links open overlay panel Abdullah Konak a David W. Check if you have access through your login credentials or your institution. A reasonable solution to a multi-objective problem is to investigate a set of solutions, each of which satisfies the objectives at an acceptable level without being dominated by any other solution.
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Multi-objective optimization using genetic algorithms: A tutorial - ScienceDirect

Coit b Alice E. They differ primarily from traditional GA by using specialized fitness functions and introducing methods to promote solution diversity. In many real-life problems, objectives under consideration conflict with each other, and optimizing a particular solution with respect to a single objective can result in unacceptable results with respect to the other objectives. Check if you have access through your login credentials or your institution.
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On exact n-step domination
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On exact n-step domination
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On exact n-step domination



Description: In many real-life problems, objectives under consideration conflict with each other, and optimizing a particular solution with respect to a single objective can result in unacceptable results with respect to the other objectives. Abstract Multi-objective formulations are realistic models for many complex engineering optimization problems. Check if you have access through your login credentials or your institution. A reasonable solution to a multi-objective problem is to investigate a set of solutions, each of which satisfies the objectives at an acceptable level without being dominated by any other solution. In this paper, an overview and tutorial is presented describing genetic algorithms GA developed specifically for problems with multiple objectives.

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