[图书][B] Neural networks: a systematic introduction
R Rojas - 2013 - books.google.com
Neural networks are a computing paradigm that is finding increasing attention among
computer scientists. In this book, theoretical laws and models previously scattered in the …
computer scientists. In this book, theoretical laws and models previously scattered in the …
[图书][B] Knowledge representation
AB Markman - 2013 - taylorfrancis.com
Knowledge representation is fundamental to the study of mind. All theories of psychological
processing are rooted in assumptions about how information is stored. These assumptions …
processing are rooted in assumptions about how information is stored. These assumptions …
[图书][B] Analyzing evolutionary algorithms: The computer science perspective
T Jansen - 2013 - Springer
Analyzing Evolutionary Algorithms: The Computer Science Perspective | SpringerLink Skip to
main content Advertisement SpringerLink Log in Menu Find a journal Publish with us Search …
main content Advertisement SpringerLink Log in Menu Find a journal Publish with us Search …
Using evolutionary computations to understand the design and evolution of gene and cell regulatory networks
A Spirov, D Holloway - Methods, 2013 - Elsevier
This paper surveys modeling approaches for studying the evolution of gene regulatory
networks (GRNs). Modeling of the design or 'wiring'of GRNs has become increasingly …
networks (GRNs). Modeling of the design or 'wiring'of GRNs has become increasingly …
[图书][B] Naturanaloge Verfahren: Metaheuristiken zur Reihenfolgeplanung
M Feldmann - 2013 - books.google.com
Page 1 GABLER EDITION WISSENSCHAFT Schriften zur quantitativen
Betriebswirtschaftslehre Martin Feldmann Naturanaloge Verfahren Metaheuristiken zur …
Betriebswirtschaftslehre Martin Feldmann Naturanaloge Verfahren Metaheuristiken zur …
An identification of program factors that impact crossover performance in evolutionary test input generation for the branch coverage of C programs
P McMinn - Information and Software Technology, 2013 - Elsevier
Context: Genetic Algorithms are a popular search-based optimisation technique for
automatically generating test inputs for structural coverage of a program, but there has been …
automatically generating test inputs for structural coverage of a program, but there has been …
Distributed evolutionary algorithm for path planning in navigation situation
R Śmierzchalski, Ł Kuczkowski, P Kolendo… - … International Journal on …, 2013 - transnav.eu
This article presents the use of a multi-population distributed evolutionary algorithm for path
planning in navigation situation. The algorithm used is with partially exchanged population …
planning in navigation situation. The algorithm used is with partially exchanged population …
Immunization of complex networks using stochastic hill-climbing algorithm
B Shams, M Khansari - ICCKE 2013, 2013 - ieeexplore.ieee.org
Recently, there is a growing interest in how to mitigate epidemic spreading through complex
networks such as infection propagation in population, rumor spreading in social interaction …
networks such as infection propagation in population, rumor spreading in social interaction …
Evaluating the seeding genetic algorithm
In this paper, we present new experimental results supporting the Seeding Genetic
Algorithm (SGA). We evaluate the algorithm's performance with various parameterisations …
Algorithm (SGA). We evaluate the algorithm's performance with various parameterisations …
The use of automated search in deriving software testing strategies
SM Poulding - 2013 - etheses.whiterose.ac.uk
Testing a software artefact using every one of its possible inputs would normally cost too
much, and take too long, compared to the benefits of detecting faults in the software. Instead …
much, and take too long, compared to the benefits of detecting faults in the software. Instead …