[BOOK][B] Genetic algorithms and genetic programming: modern concepts and practical applications
Genetic Algorithms and Genetic Programming: Modern Concepts and Practical Applications
discusses algorithmic developments in the context of genetic algorithms (GAs) and genetic …
discusses algorithmic developments in the context of genetic algorithms (GAs) and genetic …
Topologies and performance of intelligent algorithms: a comprehensive review
Recently, optimization makes an important role in our day-to-day life. Evolutionary and
population-based optimization algorithms are widely employed in several of engineering …
population-based optimization algorithms are widely employed in several of engineering …
Parameter identification for symbolic regression using nonlinear least squares
In this paper we analyze the effects of using nonlinear least squares for parameter
identification of symbolic regression models and integrate it as local search mechanism in …
identification of symbolic regression models and integrate it as local search mechanism in …
Operon C++ an efficient genetic programming framework for symbolic regression
Genetic Programming (GP) is a dynamic field of research where empirical testing plays an
important role in validating new ideas and algorithms. The ability to easily prototype new …
important role in validating new ideas and algorithms. The ability to easily prototype new …
Data based prediction of blood glucose concentrations using evolutionary methods
Predicting glucose values on the basis of insulin and food intakes is a difficult task that
people with diabetes need to do daily. This is necessary as it is important to maintain …
people with diabetes need to do daily. This is necessary as it is important to maintain …
Maintaining healthy population diversity using adaptive crossover, mutation, and selection
B McGinley, J Maher, C O'Riordan… - IEEE Transactions on …, 2011 - ieeexplore.ieee.org
This paper presents ACROMUSE, a novel genetic algorithm (GA) which adapts crossover,
mutation, and selection parameters. ACROMUSEs objective is to create and maintain a …
mutation, and selection parameters. ACROMUSEs objective is to create and maintain a …
Application of mixing rules for adjusting the flowability of virgin and post-consumer polypropylene as an approach for design from recycling
To enable the use of recyclates in thermoformed polypropylene products with acceptable
optical appearance and good mechanical stability, a multilayer structure of virgin and …
optical appearance and good mechanical stability, a multilayer structure of virgin and …
[BOOK][B] Classification and learning using genetic algorithms: applications in bioinformatics and web intelligence
S Bandyopadhyay, SK Pal - 2007 - books.google.com
This book provides a unified framework that describes how genetic learning can be used to
design pattern recognition and learning systems. It examines how a search technique, the …
design pattern recognition and learning systems. It examines how a search technique, the …
Dynamic genetic algorithms for robust design of multimachine power system stabilizers
H Alkhatib, J Duveau - International Journal of Electrical Power & Energy …, 2013 - Elsevier
Genetic Algorithms (GAs) are the most popular used methods of the evolutionary algorithm
family. GA effectiveness highly depends on the choice of the search space range for each …
family. GA effectiveness highly depends on the choice of the search space range for each …
Artificial intelligence-based predictive model of nanoscale friction using experimental data
A recent systematic experimental characterisation of technological thin films, based on
elaborated design of experiments as well as probe calibration and correction procedures …
elaborated design of experiments as well as probe calibration and correction procedures …