Search Results - subject:"Genetic algorithms"

CO2-free power generation in combined cycles—Integration of post-combustion separation of carbon dioxide in the steam cycle

Möller, Björn Fredriksson; Assadi, Mohsen; Potts, Ian - In: Energy 31 (2006) 10, pp. 1520-1532

Ever since the release of the Kyoto protocol the demand for CO2-free processes have been increasing. One of the most expanding sources of electric power in the industrialised world today is the gas-fired combined cycle, combining high efficiency and low investment cost. In this paper, the...

Persistent link: https://www.econbiz.de/10011053950

Using Genetic Algorithms to Estimate and Validate Bioeconomic Models: The Case of the Ibero-atlantic Sardine Fishery

Álvarez-Diaz, Marcos; Dominquez-Torreiro, Marcos - In: Journal of Bioeconomics 8 (2006) 1, pp. 55-65

Persistent link: https://www.econbiz.de/10005715828

A HYBRID GENETIC ALGORITHM FOR THE EARLY/TARDY SCHEDULING PROBLEM

VALENTE, JORGE M. S.; GONÇALVES, JOSÉ FERNANDO; … - In: Asia-Pacific Journal of Operational Research (APJOR) 23 (2006) 03, pp. 393-405

In this paper, we present a hybrid genetic algorithm for a version of the early/tardy scheduling problem in which no unforced idle time may be inserted in a sequence. The chromosome representation of the problem is based on random keys. The genetic algorithm is used to establish the order in...

Persistent link: https://www.econbiz.de/10005050681

Evolutionary Learning in a Principal-Agent Model

Arifovic, Jasmina; Karaivanov, Alexander - Society for Economic Dynamics - SED - 2006

We introduce learning based on genetic algorithms in a principal-agent model of optimal contracting under moral hazard …. Evolutionary learning algorithms such as genetic algorithms, classifier systems, genetic programming, evolutionary programming, etc …, 1989; Vriend, 2000) genetic algorithms are used in models of individual learning, where evolution takes place on a set of …

Persistent link: https://www.econbiz.de/10005051212

Feedback Approximation of the Stochastic Growth Model by Genetic Neural Networks

Sirakaya, S.; Turnovsky, Stephen; Alemdar, M. - In: Computational Economics 27 (2006) 2, pp. 185-206

Persistent link: https://www.econbiz.de/10005701720

Construction scheduling using multi-constraint and genetic algorithms approach

Dawood, Nashwan; Sriprasert, Eknarin - In: Construction Management and Economics 24 (2006) 1, pp. 19-30

Reliable construction schedules are important for effective co-ordination across the supply chain and various trades at the construction work face. Reliability of construction schedules can be enhanced and improved through satisfying all potential constraints prior to execution on site....

Persistent link: https://www.econbiz.de/10005268992

An artificial intelligence approach to portfolio selection and management

Abdelazim, Hazem Y.; Wahba, Khaled - In: International Journal of Financial Services Management 1 (2006) 2/3, pp. 243-254

quantitative and systematic method to construct an optimal portfolio. The genetic algorithms technique (GAs) is one of the AI … markets the generated optimal portfolio based on genetic algorithms was able to provide higher risk adjusted returns than the … represented by genetic algorithms and neural networks in active portfolio selection and management. …

Persistent link: https://www.econbiz.de/10010668720

Chapter 24 Agent-based Computational Finance

LeBaron, Blake - In: Handbook of computational economics : volume 2, …, (pp. 1187-1233). 2006

This chapter surveys research on agent-based models used in finance. It will concentrate on models where the use of computational tools is critical for the process of crafting models which give insights into the importance and dynamics of investor heterogeneity in many financial settings.

Persistent link: https://www.econbiz.de/10014024381

Evolving Information Processing Organizations

Miller, John H. - Department of Social and Decision Sciences, Carnegie … - 1995

The organization of information processing resources is a central question in economic, organizational, and computational theory. Recent work by Radner (1992) and others has developed a simple theoretical framework and some useful formal mathematical results about the behavior of such systems....

Persistent link: https://www.econbiz.de/10005793582

A HYBRID GENETIC ALGORITHM FOR THE MAXIMUM LIKELIHOOD ESTIMATION OF MODELS WITH MULTIPLE EQUILIBRIA: A FIRST REPORT

AGUIRREGABIRIA, VICTOR; MIRA, PEDRO - In: New Mathematics and Natural Computation (NMNC) 01 (2005) 02, pp. 295-303

This paper presents a hybrid genetic algorithm to obtain maximum likelihood estimates of parameters in structural econometric models with multiple equilibria. The algorithm combines a pseudo maximum likelihood (PML) procedure with a genetic algorithm (GA). The GA searches globally over the large...

Persistent link: https://www.econbiz.de/10004970161