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GECCO
2007
Springer
212views Optimization» more  GECCO 2007»
13 years 11 months ago
A hybrid evolutionary programming algorithm for spread spectrum radar polyphase codes design
This paper presents a hybrid evolutionary programming algorithm to solve the spread spectrum radar polyphase code design problem. The proposed algorithm uses an Evolutionary Progr...
Ángel M. Pérez-Bellido, Sancho Salce...
GECCO
2007
Springer
153views Optimization» more  GECCO 2007»
13 years 11 months ago
Parallel genetic algorithm: assessment of performance in multidimensional scaling
Visualization of multidimensional data by means of Multidimensional Scaling (MDS) is a popular technique of exploratory data analysis widely usable, e.g. in analysis of bio-medica...
Antanas Zilinskas, Julius Zilinskas
GECCO
2007
Springer
154views Optimization» more  GECCO 2007»
13 years 11 months ago
A multi-objective approach to search-based test data generation
There has been a considerable body of work on search–based test data generation for branch coverage. However, hitherto, there has been no work on multi–objective branch covera...
Kiran Lakhotia, Mark Harman, Phil McMinn
GECCO
2007
Springer
156views Optimization» more  GECCO 2007»
13 years 11 months ago
A phenotypic analysis of GP-evolved team behaviours
This paper presents an approach to analyse the behaviours of teams of autonomous agents who work together to achieve a common goal. The agents in a team are evolved together using...
Darren Doherty, Colm O'Riordan
GECCO
2007
Springer
177views Optimization» more  GECCO 2007»
13 years 11 months ago
Evolutionary algorithms and matroid optimization problems
We analyze the performance of evolutionary algorithms on various matroid optimization problems that encompass a vast number of efficiently solvable as well as NP-hard combinatoria...
Joachim Reichel, Martin Skutella
GECCO
2007
Springer
188views Optimization» more  GECCO 2007»
13 years 11 months ago
Using genetic algorithms for naval subsystem damage assessment and design improvements
Some auxiliary systems of next generation naval ships will utilize distributed automatic control. Such distributed control systems will use interconnected sensors, actuators, cont...
Christopher McCubbin, David Scheidt, Oliver Bandte...
GECCO
2007
Springer
158views Optimization» more  GECCO 2007»
13 years 11 months ago
A novel generative encoding for exploiting neural network sensor and output geometry
A significant problem for evolving artificial neural networks is that the physical arrangement of sensors and effectors is invisible to the evolutionary algorithm. For example,...
David B. D'Ambrosio, Kenneth O. Stanley
GECCO
2007
Springer
157views Optimization» more  GECCO 2007»
13 years 11 months ago
Convergence phases, variance trajectories, and runtime analysis of continuous EDAs
Considering the available body of literature on continuous EDAs, one must state that many important questions are still unanswered, e.g.: How do continuous EDAs really work, and h...
Jörn Grahl, Peter A. N. Bosman, Stefan Minner
GECCO
2007
Springer
293views Optimization» more  GECCO 2007»
13 years 11 months ago
Solving the artificial ant on the Santa Fe trail problem in 20, 696 fitness evaluations
In this paper, we provide an algorithm that systematically considers all small trees in the search space of genetic programming. These small trees are used to generate useful subr...
Steffen Christensen, Franz Oppacher
GECCO
2007
Springer
154views Optimization» more  GECCO 2007»
13 years 11 months ago
Finding critical backbone structures with genetic algorithms
This paper introduces the concept of a critical backbone as a minimal set of variables or part of the solution necessary to be within the basin of attraction of the global optimum...
Adam Prügel-Bennett