Results 241 to 250 of about 94,208 (301)

Ranking Pareto optimal solutions based on projection free energy

Ranking Pareto optimal solutions based on projection free energy
openaire  

Some of the next articles are maybe not open access.

Related searches:

Pareto-optimal solutions in fuzzy multi-objective linear programming

Fuzzy Sets and Systems, 2009
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jiménez, Mariano, Bilbao, Amelia
openaire   +3 more sources

Pareto Optimal Solution of a Fuzzy Newsboy Problem

Journal of Industrial Integration and Management, 2023
In this paper, a multi-item classical newsboy problem is formulated, occurring both fuzziness and randomness with floor space constraint. Here, the demand is considered as a random variable in fuzzy sense and also the purchase cost, salvage value, and selling price are fuzzy numbers. Initially, a method is explained for solving such a problem by using
Anuradha Sahoo, J. K. Dash
openaire   +1 more source

A sufficiency condition for coalitive pareto-optimal solutions

Journal of Optimization Theory and Applications, 1976
In a k-player, nonzero-sum differential game there exists the possibility that a group of players will form a coalition and work together. If all k players form the coalition, the criterion usually chosen is Pareto optimality, whereas if the coalition consists of only one player, a minmax or Nash equilibrium solution is sought.
Schmitendorf, W. E., Moriarty, G.
openaire   +1 more source

Characterizing the Nash bargaining solution without Pareto-Optimality

Social Choice and Welfare, 1988
We consider the bargaining problem with a variable number of agents. The first author [J. Econ. Theory 45, No.2, 330-341 (1988; Zbl 0657.90106)] had previously characterized the Nash solution as the only solution to satisfy the following axioms: Pareto Optimality, Symmetry, Scale Invariance, and Multilateral Stability.
Lensberg, T., Thomson, W.
openaire   +2 more sources

Optimality Conditions for Pareto-Optimal Solutions

Key Engineering Materials, 2016
In this paper the authors describe necessary conditions of optimality for continuous multicriteria optimization problems. It is proved that the existence of effective solutions requires that the gradients of individual criteria were linearly dependent. The set of solutions is given by system of equations.
Vladimir Gorbunov, Elena Sinyukova
openaire   +1 more source

Visualization of Pareto optimal solutions using MIGSOM

2015 IEEE Congress on Evolutionary Computation (CEC), 2015
In the multi-objective optimization problem that appears naturally in the decision making process for the complex system, the visualization of the innumerable solutions called Pareto optimal solutions is important issue. This study focuses on the Pareto optimal solution visualization method using the self-organizing maps which is one of promising ...
Naoto Suzuki, Takashi Okamoto, Seiichi Koakutsu   +2 more
openaire   +1 more source

PARETO-OPTIMAL SOLUTIONS IN HELICOPTER DESIGN PROBLEMS

Engineering Optimization, 1990
The design of a complex engineering system involves several competing objectives which cannot be combined into a single objective function. This paper introduces the concept of a Pareto-optimal solution in the context of multiple objective helicopter design problems. Commonly used techniques for generating Pareto-optimal solutions are discussed.
S. S. RAO, A. K. DHINGRA, H. MIURA
openaire   +1 more source

Finding preferred subsets of Pareto optimal solutions

Computational Optimization and Applications, 2007
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kao, Gio K., Jacobson, Sheldon H.
openaire   +2 more sources

Distributed pareto-optimal solutions via diffusion adaptation

2012 IEEE Statistical Signal Processing Workshop (SSP), 2012
We consider solving multi-objective optimization problems in a distributed manner over a network of nodes. The problem is equivalent to optimizing a global cost that is the sum of individual components. Diffusion adaptation enables the nodes to cooperate locally through in-network processing in order to approach Pareto-optimality.
Jianshu Chen, Ali H. Sayed
openaire   +1 more source