@inproceedings{3153881c86654997a77d3972da50d2e0,
title = "The optimization versus survival problem and its solution by an evolutionary multi objective algorithm",
abstract = "Altruism may be found in sets (groups of solutions). In such cases, it may occur that individual/individuals degrade their chances of survival (with sacrifice in the extreme) to ensure survival of fitter individuals. The idea of altruism within group evolution is posed here as a multi objective problem. The aspiration of a group to survive (find an optimal solution) is posed versus the individual's aspiration to survive. In the paper, the problem is a trajectory planning problem with the dilemma producing a Pareto set for a decision maker to choose from. It is shown that if the decision maker is ready to forfeit some of the group members, optimality may be gained. Evolutionary multi objective algorithm is implemented in order to search for this optimal set.",
keywords = "altruism, evolution, Multi objective",
author = "Gideon Avigad and Erella Eisenstadt and Miri Weiss",
year = "2010",
doi = "10.1007/978-3-642-17298-4_53",
language = "אנגלית",
isbn = "3642172970",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "494--503",
booktitle = "Simulated Evolution and Learning - 8th International Conference, SEAL 2010, Proceedings",
note = "8th International Conference on Simulated Evolution and Learning, SEAL 2010 ; Conference date: 01-12-2010 Through 04-12-2010",
}