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Cooling schedule for multi-objective simulated annealing algorithm

Authors: Ahmad Abubaker; Adam Baharum; Mahmoud Alrefaei;

Cooling schedule for multi-objective simulated annealing algorithm

Abstract

In this paper, the cooling schedule set up for Multi-Objective Simulated Annealing algorithm (MOSA) is studied. The MOSA algorithm is used to solve multi objective optimization problem by finding the Pareto set of solutions. To apply the MOSA algorithm, a cooling schedule must be determined, which has two main components; the initial temperature, and the rate at which the temperature is decrement. These two components affect the performance of the algorithm. We study the effect of the initial temperature on the MOSA algorithm, and for each value of initial temperature, several temperature decrements are performed. During the algorithm’s process, the number of iterations is kept fixed. The 0\1 multi objective knapsack problem is used to illustrate the impact of the initial and decrement temperatures on finding the Pareto set.

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
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