Search Results - subject:"Genetic Algorithm"

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

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

On Random Numbers and the Performance of Genetic Algorithms

Cantú-Paz, Erick - 2018

Pseudo random number generators (PRNGs) are the basic input to the stochastic selection, recombination, and mutation operations of genetic algorithms (GAs). Although it does not seem like a crucial decision, recent studies suggest that the choice of PRNG can affect the performance of GAs. The...

Persistent link: https://www.econbiz.de/10012927266

Playing Tic-Tac-Toe Using a Modified Neural Network and an Improved Genetic Algorithm

Lam, H.K. - 2018

(NN), which is trained by an improved genetic algorithm (GA). In the proposed NN, the neuron has two activation transfer …

Persistent link: https://www.econbiz.de/10012927292

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

Claveria, Oscar - 2018

Persistent link: https://www.econbiz.de/10012928856

Estimating stock closing indices using a GA-weighted condensed polynomial neural network

Nayak, Sarat Chandra; Misra, Bijan Bihari - In: Financial innovation : FIN 4 (2018) 21, pp. 1-22

features are fed to a single output neuron, and the synaptic weight values and biases of the CPNN are optimized by a genetic … algorithm. The proposed model was evaluated by predicting the next day’s closing price of five fast-growing stock indices: the …

Persistent link: https://www.econbiz.de/10011921960

A model for distribution centers location-routing problem on a multimodal transportation network with a meta-heuristic solving approach

Fazayeli, Saeed; Eydi, Alireza; Kamalabadi, Isa Nakhai - In: Journal of industrial engineering international 14 (2018) 2, pp. 327-342

the distribution centers to retailers. An integer linear programming is presented for the problem, and a genetic algorithm …

Persistent link: https://www.econbiz.de/10011871252

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/10011887969