Search Results - subject:"Genetic algorithm"

Multi-period project portfolio selection under risk considerations and stochastic income

Tofighian, Ali Asghar; Moezzi, Hamid; Barfuei, Morteza … - In: Journal of Industrial Engineering International 14 (2018) 3, pp. 571-584

procedure is presented to solve the problem. The algorithm is based on genetic algorithm (GA), which is a prominent method to … then compared with well-known algorithms, like basic genetic algorithm (GA), particle swarm optimization (PSO), and …

Persistent link: https://www.econbiz.de/10011995855

Collaboration space division in collaborative product development based on a genetic algorithm

Qian, Xueming; Ma, Yanqiao; Feng, Huan - In: Journal of Industrial Engineering International 14 (2018) 4, pp. 719-732

). Upon establishment of a correlation matrix (CM) of personnel and an analysis of the collaboration space, the genetic … algorithm (GA) and minimum description length (MDL) principle may be used as tools in optimizing collaboration space. The MDL …

Persistent link: https://www.econbiz.de/10011995866

Construction cost estimation of spherical storage tanks: Artificial neural networks and hybrid regression-GA algorithms

Arabzadeh, Vida; Niaki, S. T. A.; Arabzadeh, Vahid - In: Journal of Industrial Engineering International 14 (2018) 4, pp. 747-756

, regression models are hybridized with a genetic algorithm to obtain better estimates of the coefficients. The methods are applied …

Persistent link: https://www.econbiz.de/10011995868

A new memetic algorithm for mitigating tandem automated guided vehicle system partitioning problem

Pourrahimian, Parinaz - In: Journal of Industrial Engineering International 14 (2018) 4, pp. 845-855

development process of a new Memetic Algorithm (MA) for optimizing partitioning problem of tandem AGVS. MAs employ a Genetic … Algorithm (GA), as a global search, and apply a local search to bring the solutions to a local optimum point. A new Tabu Search …

Persistent link: https://www.econbiz.de/10011995876

Optimization of Mass Distribution in Articulated Figures with Genetic Algorithms

Schmitt, Lothar M. - 2018

fitness value of the corresponding shape in an otherwise custom designed genetic algorithm, where the shape of the articulated …-shaped muscle groups” or “hips.” These features are stable under repeated application of the genetic algorithm procedure …

Persistent link: https://www.econbiz.de/10012921637

The Linear Geometry of Genetic Operators with Applications to the Analysis of Genetic Drift and Genetic Algorithms Using Tournament Selection

Schmitt, Lothar M. - 2018

representing the three phases mutation, crossover, and fitness selection of a genetic algorithm — using, ., computation of spectra … estimates, that for small mutation rates a genetic algorithm asymptotically spends most of its time in uniform populations …

Persistent link: https://www.econbiz.de/10012921646

Designing an If-Then Rules Based Ensemble of Heterogeneous Bankruptcy Classifiers : A Genetic Algorithm Approach

Davalos, Sergio - 2018

heterogeneous set classifiers. A genetic algorithm (GA) induces the rules using an asymmetric, cost-sensitive fitness function that …

Persistent link: https://www.econbiz.de/10012937849

Genetic Algorithm Based Model For Optimizing Bank Lending Decisions

Metawa, Noura - 2018

challenge. For that, this paper proposes an intelligent model based on the Genetic Algorithm (GA) to organize bank lending …

Persistent link: https://www.econbiz.de/10012909817

Tracking Economic Growth by Evolving Expectations via Genetic Programming : A Two-Step Approach

Claveria, Oscar - 2018

The main objective of this study is to present a two-step approach to generate estimates of economic growth based on agents' expectations from tendency surveys. First, we design a genetic programming experiment to derive mathematical functional forms that approximate the target variable by...

Persistent link: https://www.econbiz.de/10012909960

Analysis of Mixture Experiments Using Genetic Algorithms

Del Pino, Uvedel B. - 2018

The general purpose in mixture experiments is to find the proportions of its components with better properties. Traditionally the solution of this problem has been made with different techniques of the mixture designs. In this paper the Genetics Algorithms are presented to find a solution to the...

Persistent link: https://www.econbiz.de/10012924672