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GECCO
1999
Springer
167views Optimization» more  GECCO 1999»
15 years 10 months ago
A Biologically Inspired Fitness Function for Robotic Grasping
This paper describes the innovative use of genetic programming (GP) to solve the grasp synthesis problem for multifingered robot hands. The goal of our algorithm is to select a Ò...
J. Jaime Fernandez, Ian D. Walker
ICCD
1994
IEEE
142views Hardware» more  ICCD 1994»
15 years 10 months ago
Grammar-Based Optimization of Synthesis Scenarios
Systems for multi-level logic optimization are usually based on a set of specialized, loosely-related transformations which work on a network representation. The sequence of trans...
Andreas Kuehlmann, Lukas P. P. P. van Ginneken
WCNC
2010
IEEE
15 years 10 months ago
Deploying Wireless Sensors for Differentiated Coverage and Probabilistic Connectivity
—The deployment strategy for achieving differentiated coverage and probabilistic connectivity in wireless sensor networks is studied in this paper. A novel solution based on elit...
Yanjun Li, Ye-Qiong Song, Yi-hua Zhu, René ...
ACIIDS
2010
IEEE
171views Database» more  ACIIDS 2010»
15 years 9 months ago
Evolving Concurrent Petri Net Models of Epistasis
Abstract. A genetic algorithm is used to learn a non-deterministic Petri netbased model of non-linear gene interactions, or statistical epistasis. Petri nets are computational mode...
Michael Mayo, Lorenzo Beretta
CEC
2008
IEEE
15 years 8 months ago
Investigation of simply coded evolutionary artificial neural networks on robot control problems
One of the advantages of evolutionary robotics over other approaches in embodied cognitive science would be its parallel population search. Due to the population search, it takes a...
Yoshiaki Katada, Jun Nakazawa