Search Results - subject:"evolutionary algorithms"

Did you mean: subject:"evolutionary algorithm" (3,896 results)

Formulation of the Evolutionary-Based Data Assimilation, and its Implementation in Hydrological Forecasting

Dumedah, Gift - In: Water Resources Management 26 (2012) 13, pp. 3853-3870

Multi-objective evolutionary algorithms (MOEAs) have gained popularity for their capability to handle complex and …

Persistent link: https://www.econbiz.de/10010998155

A genetic algorithm based augmented Lagrangian method for constrained optimization

Deb, Kalyanmoy; Srivastava, Soumil - In: Computational Optimization and Applications 53 (2012) 3, pp. 869-902

method is applied to a number of constrained test problems taken from the evolutionary algorithms (EAs) literature. The …

Persistent link: https://www.econbiz.de/10010998394

Pareto Frontier of a Dynamic Principal–Agent Model with Discrete Actions: An Evolutionary Multi-Objective Approach

Curiel, Itza; Giannatale, Sonia Di; Herrera, Juan; … - In: Computational Economics 40 (2012) 4, pp. 415-443

In this article, a dynamic Principal–Agent model with discrete actions is analysed from a Multi-Objective optimization framework. As a result, a concave Pareto Frontier is numerically approximated. The concavity of the Pareto Frontier is a consequence of the information asymmetry between the...

Persistent link: https://www.econbiz.de/10010989299

Superstructure-free synthesis and optimization of distributed industrial energy supply systems

Voll, Philip; Lampe, Matthias; Wrobel, Gregor; Bardow, … - In: Energy 45 (2012) 1, pp. 424-435

systems (DESS) by exploiting the nature of evolutionary algorithms. Current approaches require the designer to define a …

Persistent link: https://www.econbiz.de/10010810834

Clonal selection: an immunological algorithm for global optimization over continuous spaces

Pavone, Mario; Narzisi, Giuseppe; Nicosia, Giuseppe - In: Journal of Global Optimization 53 (2012) 4, pp. 769-808

Persistent link: https://www.econbiz.de/10010896403

Evolutive design of ARMA and ANN models for time series forecasting

Flores, Juan J.; Graff, Mario; Rodriguez, Hector - In: Renewable Energy 44 (2012) C, pp. 225-230

The evolutionary design of time series forecasters is a field that has been explored for several years now. In this paper, a complete design and training of ARMA (Auto-Regressive Moving Average) and ANN (Artificial Neural Networks) models through the use of Evolutionary Computation is presented....

Persistent link: https://www.econbiz.de/10010803894

Handling equality constraints in evolutionary optimization

Barkat Ullah, Abu S.S.M.; Sarker, Ruhul; Lokan, Chris - In: European Journal of Operational Research 221 (2012) 3, pp. 480-490

optimization problems using evolutionary algorithms (EAs). However, the presence of equality constraints makes the feasible space …

Persistent link: https://www.econbiz.de/10010597631

Registrar: a complete-memory operator to enhance performance of genetic algorithms

Charalampakis, Aristotelis - In: Journal of Global Optimization 54 (2012) 3, pp. 449-483

, while the encapsulation of the code facilitates implementation with other Evolutionary Algorithms. Copyright Springer …

Persistent link: https://www.econbiz.de/10010600688

Multi-objective optimization and design of farming systems

Groot, Jeroen C.J.; Oomen, Gerard J.M.; Rossing, Walter A.H. - In: Agricultural Systems 110 (2012) C, pp. 63-77

Reconfiguration of farming systems to reach various productive and environmental objectives while meeting farm and policy constraints is complicated by the large array of farm components involved, and the multitude of interrelations among these components. This hampers the evaluation of...

Persistent link: https://www.econbiz.de/10010571855

Multi-objective optimization of a stand-alone hybrid renewable energy system by using evolutionary algorithms: A review

Fadaee, M.; Radzi, M.A.M. - In: Renewable and Sustainable Energy Reviews 16 (2012) 5, pp. 3364-3369

, in the present study, an overview of applied multi-objective methods by using evolutionary algorithms for hybrid …

Persistent link: https://www.econbiz.de/10010573541