Search Results - subject:"Evolutionary algorithms"

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Una introducción a la computación evolutiva y algunas de sus aplicaciones en Economía y Finanzas = An Introduction to Evolutionary Computation and Some of its Applications in Economics and Finance

Quintero, Santana; Vicente, Luis; Coello Coello, Carlos A. - In: Revista de Métodos Cuantitativos para la Economía y … 2 (2006) 1, pp. 3-26

use of evolutionary algorithms in Economics and Finance, as well as some of the research trends within this area. …

Persistent link: https://www.econbiz.de/10005634771

Multistage distribution system expansion planning considering distributed generation using hybrid evolutionary algorithms

Gitizadeh, Mohsen; Vahed, Ali Azizi; Aghaei, Jamshid - In: Applied Energy 101 (2013) C, pp. 655-666

The main goal of this paper is to present a Multistage Distribution network Expansion Planning (MDEP) problem in the presence of Distributed Generations (DGs) in a multi-objective optimization framework. The proposed model simultaneously optimizes two objectives: minimization of investment and...

Persistent link: https://www.econbiz.de/10010594032

Graph 3-coloring with a hybrid self-adaptive evolutionary algorithm

Fister, Iztok; Mernik, Marjan; Filipič, Bogdan - In: Computational Optimization and Applications 54 (2013) 3, pp. 741-770

This paper proposes a hybrid self-adaptive evolutionary algorithm for graph coloring that is hybridized with the following novel elements: heuristic genotype-phenotype mapping, a swap local search heuristic, and a neutral survivor selection operator. This algorithm was compared with the...

Persistent link: https://www.econbiz.de/10010998294

EMAIL SPAM DETECTION: A SYMBIOTIC FEATURE SELECTION APPROACH FOSTERED BY EVOLUTIONARY COMPUTATION

SOUSA, PEDRO; CORTEZ, PAULO; VAZ, RUI; ROCHA, MIGUEL; … - In: International Journal of Information Technology & … 12 (2013) 04, pp. 863-884

-spam filters. For such purpose, several Evolutionary Algorithms (EA) are explored as optimization engines able to enhance feature …

Persistent link: https://www.econbiz.de/10011011034

A Genetic Programming Approach for EUR/USD Exchange Rate Forecasting and Trading

Vasilakis, Georgios; Theofilatos, Konstantinos; … - In: Computational Economics 42 (2013) 4, pp. 415-431

The purpose of this article is to present a novel genetic programming trading technique in the task of forecasting the next day returns when trading the EUR/USD exchange rate based on the exchange rates of historical data. Aiming at testing its effectiveness, we benchmark the forecasting...

Persistent link: https://www.econbiz.de/10010866830

Differential evolution with multi-constraint consensus methods for constrained optimization

Hamza, Noha; Sarker, Ruhul; Essam, Daryl - In: Journal of Global Optimization 57 (2013) 2, pp. 583-611

Constrained optimization is an important research topic that assists in quality planning and decision making. To solve such problems, one of the important aspects is to improve upon any constraint violation, and thus bring infeasible individuals to the feasible region. To achieve this goal,...

Persistent link: https://www.econbiz.de/10010896372

Parallel multiobjective evolutionary algorithms for batch scheduling in heterogeneous computing and grid systems

Nesmachnow, Sergio - In: Computational Optimization and Applications 55 (2013) 2, pp. 515-544

This article presents six parallel multiobjective evolutionary algorithms applied to solve the scheduling problem in … distributed heterogeneous computing and grid systems. The studied evolutionary algorithms follow an explicit multiobjective … analysis demonstrates that the proposed evolutionary algorithms are able to efficiently compute accurate results when solving …

Persistent link: https://www.econbiz.de/10010847465

Evolutionary generation of dispatching rule sets for complex dynamic scheduling problems

Pickardt, Christoph W.; Hildebrandt, Torsten; Branke, … - In: International Journal of Production Economics 145 (2013) 1, pp. 67-77

We propose a two-stage hyper-heuristic for the generation of a set of work centre-specific dispatching rules. The approach combines a genetic programming (GP) algorithm that evolves a composite rule from basic job attributes with an evolutionary algorithm (EA) that searches for a good assignment...

Persistent link: https://www.econbiz.de/10011043211

Solving dual problems using a coevolutionary optimization algorithm

Deb, Kalyanmoy; Gupta, Shivam; Dutta, Joydeep; Ranjan, … - In: Journal of Global Optimization 57 (2013) 3, pp. 891-933

In solving certain optimization problems, the corresponding Lagrangian dual problem is often solved simply because in these problems the dual problem is easier to solve than the original primal problem. Another reason for their solution is the implication of the weak duality theorem which...

Persistent link: https://www.econbiz.de/10010994031

Multiobjective scatter search approach with new combination scheme applied to solve environmental/economic dispatch problem

de Athayde Costa e Silva, Marsil; Klein, Carlos Eduardo; … - In: Energy 53 (2013) C, pp. 14-21

The environmental/economic dispatch (EED) is an important daily optimization task in the operation of many power systems. It involves the simultaneous optimization of fuel cost and emission objectives which are conflicting ones. The EED problem can be formulated as a large-scale highly...

Persistent link: https://www.econbiz.de/10010808804