Search Results - subject:"Evolutionary algorithms"

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Progressive-Stepping-Based Non-Dominated Sorting Genetic Algorithm for Multi-Objective Optimization

Baviskar, Akshay; Krishnapillai, Shankar - In: International Journal of Applied Evolutionary … 7 (2016) 3, pp. 17-49

-objective evolutionary algorithms (EA's) are compared for different benchmark functions and PSNS outperforms them in most cases based on …

Persistent link: https://www.econbiz.de/10012042700

Multiobjective Group Search Optimization Approach for Community Detection in Networks

Arora, Nidhi; Banati, Hema - In: International Journal of Applied Evolutionary … 7 (2016) 3, pp. 50-70

Various evolving approaches have been extensively applied to evolve densely connected communities in complex networks. However these techniques have been primarily single objective optimization techniques, which optimize only a specific feature of the network missing on other important features....

Persistent link: https://www.econbiz.de/10012042701

Quasi Oppositional Teaching-Learning based Optimization for Optimal Power Flow Incorporating FACTS

Roy, Provas Kumar; Dutta, Susanta; Nandi, Debashis - In: International Journal of Energy Optimization and … 5 (2016) 2, pp. 64-84

In this paper, quasi-oppositional teaching-learning based optimization (QOTLBO) is introduced and successfully applied for solving an optimal power flow (OPF) problem in power system incorporating flexible AC transmission systems (FACTS). The main drawback of the original teaching-learning based...

Persistent link: https://www.econbiz.de/10012044545

Genetic Diagnosis of Cancer by Evolutionary Fuzzy-Rough based Neural-Network Ensemble

Dash, Sujata; Patra, Bichitrananda - In: International Journal of Knowledge Discovery in … 6 (2016) 1, pp. 1-16

High dimension and small sample size is an inherent problem of gene expression datasets which makes the analysis process more complex. The present study has developed a novel learning scheme that encapsulates a hybrid evolutionary fuzzy-rough feature selection model with an adaptive neural net...

Persistent link: https://www.econbiz.de/10012046193

Ontologies to Lead Knowledge Intensive Evolutionary Algorithms: Principles and Case Study

Catania, Carlos Adrian; Zanni-Merk, Cecilia; Bertrand … - In: International Journal of Knowledge and Systems Science … 7 (2016) 1, pp. 78-100

Evolutionary Algorithms (EA) have proven to be very effective in optimizing intractable problems in many areas. However … to show how knowledge engineering techniques can be used to guide the definition of Evolutionary Algorithms (EA) for …

Persistent link: https://www.econbiz.de/10012046333

Improving In-Flight Learning in a Flapping Wing Micro Air Vehicle

Boddhu, Sanjay; Sam, Monica; Duncan, Kayleigh; Botha, … - In: International Journal of Monitoring and Surveillance … 4 (2016) 1, pp. 62-75

Much effort has gone into improving the performance of evolutionary algorithms that augment traditional control in a … performance of an algorithm is evaluated. This paper presents results of applying an assortment of different evolutionary … algorithms to the problem. This paper also presents some discussion on which choices for representation and algorithm parameters …

Persistent link: https://www.econbiz.de/10012046674

On the Implementation and Use of a Genetic Algorithm with Genetic Acquisitions

Mateescu, George Daniel - In: Journal for Economic Forecasting (2010) 2, pp. 223-230

A genetic algorithm is convergent when genetic mutations occur on the objective function gradient direction. These genetic mutations are called genetic acquisitions (Mateescu, 2005). We improved the algorithm and its implementation by using the characteristics of parents in order to generate new...

Persistent link: https://www.econbiz.de/10008492972

Aproximación con algoritmos evolutivos de la frontera de Pareto de un modelo dinámico de agente-principal con acciones discretas

Di Giannatale, Sonia B.; Curiel, Itza; Herrera, Juan; … - Centro de Investigación y Docencia Económicas (CIDE) - 2010

We use Evolutionary Algorithms to approximate the Pareto frontier of a dynamic Principal-Agent model with discrete …

Persistent link: https://www.econbiz.de/10010699629

Innovation as a complex adaptive system

Engler, Joseph John - 2009

Innovation has long been considered crucial for companies to gain a competitive edge in the global marketplace. Unfortunately, a solid understanding of the system of innovation does not exist. The literature lacks formal definitions and methodologies for the system of innovation. Many surrogates...

Persistent link: https://www.econbiz.de/10009466047

On the genetic algorithm with adaptive mutation rate and selected statistical applications

Pereira, André; Andrade, Bernardo - In: Computational Statistics 30 (2015) 1, pp. 131-150

<Para ID="Par1">We give sufficient conditions which the mutation rate must satisfy for the convergence of the genetic algorithm when that rate is allowed to change throughout iterations. The empirical performance of the algorithm with regards to changes in the mutation parameter is explored via test functions,...</para>

Persistent link: https://www.econbiz.de/10011241290