[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] Analyzing evolutionary algorithms: The computer science perspective
T Jansen - 2013 - Springer
Analyzing Evolutionary Algorithms: The Computer Science Perspective | SpringerLink Skip to
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A runtime analysis of simple hyper-heuristics: To mix or not to mix operators
There is a growing body of work in the field of hyper-heuristics. Hyper-heuristics are high
level search methodologies that operate on the space of heuristics to solve hard …
level search methodologies that operate on the space of heuristics to solve hard …
Lessons from the black-box: Fast crossover-based genetic algorithms
The recently active research area of black-box complexity revealed that for many
optimization problems the best possible black-box optimization algorithm is significantly …
optimization problems the best possible black-box optimization algorithm is significantly …
When do evolutionary algorithms optimize separable functions in parallel?
Separable functions are composed of subfunctions that depend on mutually disjoint sets of
bits. These subfunctions can be optimized independently, however in black-box optimization …
bits. These subfunctions can be optimized independently, however in black-box optimization …
Source mask optimization using real-coded genetic algorithms
C Yang, X Wang, S Li… - Optical Microlithography …, 2013 - spiedigitallibrary.org
Source mask optimization (SMO) is considered to be one of the technologies to push
conventional 193nm lithography to its ultimate limits. In comparison with other SMO methods …
conventional 193nm lithography to its ultimate limits. In comparison with other SMO methods …
Royal road functions and the (1+ λ) evolutionary algorithm: Almost no speed-up from larger offspring populations
B Doerr, M Künnemann - 2013 IEEE Congress on Evolutionary …, 2013 - ieeexplore.ieee.org
We analyze the runtime of the (1+ λ) evolutionary algorithm (EA) on the classic royal road
test function class. For a royal road function defined on bit-strings of length n having block …
test function class. For a royal road function defined on bit-strings of length n having block …
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 …
Fitness landscape analysis and metaheuristics efficiency
MÉ Marmion, L Jourdan, C Dhaenens - Journal of Mathematical Modelling …, 2013 - Springer
Landscape analysis has been identified as a promising way to develop efficient optimization
methods. Nevertheless, the links between properties of the landscape and efficiency of …
methods. Nevertheless, the links between properties of the landscape and efficiency of …