نتایج جستجو برای: weak pareto solution

تعداد نتایج: 605962  

2004
Kuntinee Maneeratana Kittipong Boonlong Nachol Chaiyaratana

This paper presents the integration between a co-operative co-evolutionary genetic algorithm (CCGA) and four evolutionary multiobjective optimisation algorithms (EMOAs): a multi-objective genetic algorithm (MOGA), a niched Pareto genetic algorithm (NPGA), a nondominated sorting genetic algorithm (NSGA) and a controlled elitist nondominated sorting genetic algorithm (CNSGA). The resulting algori...

2006
Yukinori Iwata

We examine whether Arrow’s theorem holds when social alternatives are the pairs of final outcomes and opportunity sets from which outcomes are chosen, and there exist consequentialists in society. Consequentialism is a choice attitude towards outcomes and opportunities, and gives priority to outcomes over opportunities. We first prove Arrow’s theorem in an abstract setting, and show that domain...

2005
Ronen Brafman Ulrich Junker Gerhard Brewka Ulrich Güntzer

Skylines with partial order preference semanticsoften result in huge answer sets and what is worse,they cannot be computed efficiently. In this paperwe will explore the evaluation of so-called re-stricted skyline queries with partial order prefer-ences under the paradigm of weak Pareto domi-nance. Weak Pareto dominance removes all objectsfrom skylines, which are domi...

2011
Ram Sewak Dubey Tapan Mitra

The paper examines the problem of aggregating infinite utility streams with a social welfare function which respects the Anonymity and Weak Pareto Axioms. It provides a complete characterization of domains (of the one period utilities) on which such an aggregation is possible. A social welfare function satisfying the Anonymity and Weak Pareto Axioms exists on precisely those domains which do no...

2014
Tenda Okimoto Nicolas Schwind Maxime Clement Katsumi Inoue

In this paper, we develop a novel algorithm which finds a subset of Pareto front of a Multi-Objective Distributed Constraint Optimization Problem. This algorithm utilizes the Lp-norm method, pseudo-tree, and Dynamic Programming technique. Furthermore, we show that this Lp-norm based algorithm can only guarantee to find a Pareto optimal solution, when we employ L1-norm (Manhattan norm).

J. C. Liang, L. J. Li, N. He,

A multi-objective heuristic particle swarm optimiser (MOHPSO) based on Pareto multi-objective theory is proposed to solve multi-objective optimality problems. The optimality objectives are the roof displacement and structure weight. Two types of structure are analysed in this paper, a truss structure and a framework structure. Performance-based seismic analysis, such as classical and modal push...

Journal: :Social Choice and Welfare 2010
Kohei Kamaga Takashi Kojima

This paper studies the extensions of the infinte-horizon variants of the leximin principle and utilitarianism on the set of infinite utility streams. We especially examine those extensions which satisfy the axiom of Preference-continuity (or Consistency) and the extended anonymity axiom called Q-Anonymity. We formulate new extended leximin and utilitarian social welfare relations (SWRs), called...

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