نتایج جستجو برای: continuous optimization

تعداد نتایج: 567166  

Journal: :IEEE Transactions on Evolutionary Computation 2017

2013
Tom Jorquera Jean-Pierre Georgé Marie Pierre Gleizes Christine Régis

While multi-agent systems have been successfully applied to combinatorial optimization, very few works concern their applicability to continuous optimization problems. In this article we propose a framework for modeling a continuous optimization problems as multi-agent system, which we call NDMO, by representing the problem as an agent graph, and complemented with optimization solving behaviors...

Journal: :Inf. Sci. 2014
Santiago Muelas Alexander Mendiburu Antonio LaTorre José María Peña Sánchez

Article history: Received 23 August 2010 Received in revised form 22 August 2011 Accepted 10 November 2011 Available online xxxx

1999
Frédéric H. Pighin Richard Szeliski David Salesin

Given video footage of a person's face, we present new techniques to automatically recover the face position and the facial expression from each frame in the video sequence. A 3D face model is fitted to each frame using a continuous optimization technique. Our model is based on a set of 3D face models that are linearly combined using 3D morphing. Our method has the advantages over previous tech...

2012
Tomasz Mączka Tomasz Żabiński

Numerous and significant challenges are currently being faced by manufacturing companies. Product customization demands are constantly growing, customers are expecting shorter delivery times, lower prices, smaller production batches and higher quality. These factors result in significant increase in complexity of production processes and the necessity for continuous optimization. In order to fu...

Journal: :CoRR 2013
Mahdi Moeini

In this paper we consider a generalization of the Markowitz's Mean-Variance model under linear transaction costs and cardinality constraints. The cardinality constraints are used to limit the number of assets in the optimal portfolio. The generalized model is formulated as a mixed integer quadratic programming (MIP) problem. The purpose of this paper is to investigate a continuous approach base...

Journal: :CoRR 2015
Shayan Poursoltan Frank Neumann

Different types of evolutionary algorithms have been developed for constrained continuous optimization. We carry out a feature-based analysis of evolved constrained continuous optimization instances to understand the characteristics of constraints that make problems hard for evolutionary algorithm. In our study, we examine how various sets of constraints can influence the behaviour of ε-Constra...

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