Search Results - subject:"Optimization problems"

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Optimization Techniques - Genetic Programming in education

BARDASUC, Leila; POPESCU, Andrei; POPESCU, Andrei - In: Alma Mater University journal 7 (2014) 1, pp. 14-18

We live in a society where technology is evolving exponentially by the day. Every morning we wake up and realize that we are becoming more addicted to it. Technologies and ideas that previously seemed detached from sci-fi scenarios have now become indispensable in our everyday life....

Persistent link: https://www.econbiz.de/10010776448

Functional inequalities and theorems of the alternative involving composite functions

Dinh, N.; Vallet, G.; Volle, M. - In: Journal of Global Optimization 59 (2014) 4, pp. 837-863

optimization problems with composite functions, convex composite problems with conic constraints are examined at the end of the …

Persistent link: https://www.econbiz.de/10010994009

A black-box scatter search for optimization problems with integer variables

Laguna, Manuel; Gortázar, Francisco; Gallego, Micael; … - In: Journal of Global Optimization 58 (2014) 3, pp. 497-516

, we seek a solver capable of obtaining high quality outcomes to optimization problems for which solutions are represented … as a vector of integer values. We refer to these problems as integer optimization problems. We assume that the decision …

Persistent link: https://www.econbiz.de/10010994086

A survey on multi-objective evolutionary algorithms for many-objective problems

Lücken, Christian; Barán, Benjamín; Brizuela, Carlos - In: Computational Optimization and Applications 58 (2014) 3, pp. 707-756

Multi-objective evolutionary algorithms (MOEAs) are well-suited for solving several complex multi-objective problems with two or three objectives. However, as the number of conflicting objectives increases, the performance of most MOEAs is severely deteriorated. How to improve MOEAs’...

Persistent link: https://www.econbiz.de/10010998280

Copula selection for graphical models in continuous Estimation of Distribution Algorithms

Salinas-Gutiérrez, Rogelio; Hernández-Aguirre, Arturo; … - In: Computational Statistics 29 (2014) 3, pp. 685-713

) for solving multivariate optimization problems. It is shown in this work how the incorporation of copula functions and …

Persistent link: https://www.econbiz.de/10010998482

Effectively tackling reinsurance problems by using evolutionary and swarm intelligence algorithms

Salcedo-Sanz, Sancho; Carro-Calvo, Leo; Claramunt, Mercè; … - In: Risks : open access journal 2 (2014) 2, pp. 132-145

This paper is focused on solving different hard optimization problems that arise in the field of insurance and, more … the reinsurance rules and conditions produces hard black-box optimization problems (problems in which the objective … and particle swarm optimization). We provide an analysis in three black-box optimization problems in reinsurance, where …

Persistent link: https://www.econbiz.de/10010338035

Approximating Pareto curves using semidefinite relaxations

Magron, Victor; Henrion, Didier; Lasserre, Jean-Bernard - In: Operations research letters 42 (2014) 6/7, pp. 432-437

Persistent link: https://www.econbiz.de/10010428050

Box-constrained vector optimization: a steepest descent method without “a priori” scalarization

Enrico, Miglierina; Elena, Molho; Cristina, Recchioni Maria - Facoltà di Economia, Università degli Studi dell'Insubria - 2006

optimization problems. This method determines the critical points of the box constrained multiobjective optimization problem …

Persistent link: https://www.econbiz.de/10005827375

Three new stochastic local search algorithms for continuous optimization problems

Chetty, Sivashan; Adewumi, Aderemi - In: Computational Optimization and Applications 56 (2013) 3, pp. 675-721

This paper introduces three new stochastic local search metaheuristics algorithms namely, the Best Performance Algorithm (BPA), the Iterative Best Performance Algorithm (IBPA) and the Largest Absolute Difference Algorithm (LADA). BPA and IBPA are based on the competitive nature of professional...

Persistent link: https://www.econbiz.de/10010728119

An Analysis of Black-box Optimization Problems in Reinsurance: Evolutionary-based Approaches

Salcedo-Sanz, Sancho; Carro-Calvo, L.; Claramunt, Mercè; … - Xarxa de Referència en Economia Aplicada (XREAP) - 2013

Black-box optimization problems (BBOP) are dened as those optimization problems in which the objective function does … models and assumptions considered to dene the reinsurance rules and conditions produces hard black-box optimization problems …

Persistent link: https://www.econbiz.de/10010859460