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EH
2000
IEEE
123views Hardware» more  EH 2000»
15 years 10 months ago
The Test Vector Problem and Limitations to Evolving Digital Circuits
How do we know the correctness of an evolved circuit? While Evolutionary Hardware is exhibiting its effectiveness, we argue that it is very difficult to design a large-scale digit...
Kosuke Imamura, James A. Foster, Axel W. Krings
CEC
2005
IEEE
15 years 11 months ago
Complexity transitions in evolutionary algorithms: evaluating the impact of the initial population
Abstract- This paper proposes an evolutionary approach for the composition of solutions in an incremental way. The approach is based on the metaphor of transitions in complexity di...
Anne Defaweux, Tom Lenaerts, Jano I. van Hemert, J...
GECCO
2005
Springer
107views Optimization» more  GECCO 2005»
15 years 11 months ago
Minimum spanning trees made easier via multi-objective optimization
Many real-world problems are multi-objective optimization problems and evolutionary algorithms are quite successful on such problems. Since the task is to compute or approximate t...
Frank Neumann, Ingo Wegener
GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
15 years 11 months ago
Multi-chromosomal genetic programming
This paper introduces an evolutionary algorithm which uses multiple chromosomes to evolve solutions to a symbolic regression problem. Inspiration for this algorithm is provided by...
Rachel Cavill, Stephen L. Smith, Andrew M. Tyrrell
GECCO
2009
Springer
121views Optimization» more  GECCO 2009»
16 years 22 days ago
Evolutionary algorithms and dynamic programming
Recently, it has been proven that evolutionary algorithms produce good results for a wide range of combinatorial optimization problems. Some of the considered problems are tackled...
Benjamin Doerr, Anton Eremeev, Christian Horoba, F...