Altruism as a Tool for optimization: Literature Review

Mai Mohamed Abdel Satar; Osama Abdel-Raouf; Mohamed Abdel Baset; Ibrahim El-henawy

doi:https://doi.org/10.14445/22315381/IJETT-V22P257

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Volume 22 | Number 1 | Year 2015 | Article Id. IJETT-V22P257 | DOI : https://doi.org/10.14445/22315381/IJETT-V22P257

Altruism as a Tool for optimization: Literature Review

Mai Mohamed Abdel Satar, Osama Abdel-Raouf, Mohamed Abdel Baset, Ibrahim El-henawy

Citation :

Mai Mohamed Abdel Satar, Osama Abdel-Raouf, Mohamed Abdel Baset, Ibrahim El-henawy, "Altruism as a Tool for optimization: Literature Review," International Journal of Engineering Trends and Technology (IJETT), vol. 22, no. 1, pp. 270-275, 2015. Crossref, https://doi.org/10.14445/22315381/IJETT-V22P257

Abstract

Altruism is the opposite of selfishness. Altruism is a powerful force and is unique in the animal environment. Some individuals are heterogeneity and interact between altruists and selfish. The simplest form of altruism can be explained by usefulness of protecting ones genetic investment in relatives other than direct offspring. Reciprocal altruism is the idea that if you behave kindly to a person or help them in the past, that individual will be inclined to help you in the future .Altruism can be hedonistic or natural altruism in empathy, affection, sympathy, emotional contagion, pity and compassion; or normative altruism of the moral, non-moral social, and rational types. Altruism exists in families and among the diverse motives of the political and public sector. We have to turn to game theory for complicated models of altruism. Using game theory shows that altruistic behavior can be optimal but the conditions under which it is so are delicate .When we can estimate average behavior over trials we do the better. We can also use altruism with genetic algorithm. Altruism favored over natural selection – built in genetic algorithm. Altruism optimizes solution of multiobjective optimization problems. in this paper, definitions of altruism, types of altruism, benefits of altruism, altruism and fitness ,evolution of altruism, are discussed and analyzed . The survey investigates how to cultivate altruism as well as advantage and disadvantage of genetic algorithm with altruism. To add to this, several future improvements are suggested.

Keywords

Altruism; genetic algorithm; optimization; Multiobjective optimization.

References

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