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» Evolutionary algorithms and dynamic programming
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FOGA
2011
12 years 11 months ago
Computational complexity analysis of simple genetic programming on two problems modeling isolated program semantics
Analyzing the computational complexity of evolutionary algorithms (EAs) for binary search spaces has significantly informed our understanding of EAs in general. With this paper, ...
Greg Durrett, Frank Neumann, Una-May O'Reilly
GECCO
2008
Springer
186views Optimization» more  GECCO 2008»
13 years 9 months ago
A pareto following variation operator for fast-converging multiobjective evolutionary algorithms
One of the major difficulties when applying Multiobjective Evolutionary Algorithms (MOEA) to real world problems is the large number of objective function evaluations. Approximate...
A. K. M. Khaled Ahsan Talukder, Michael Kirley, Ra...
ECAL
2005
Springer
14 years 1 months ago
The Quantitative Law of Effect is a Robust Emergent Property of an Evolutionary Algorithm for Reinforcement Learning
An evolutionary reinforcement-learning algorithm, the operation of which was not associated with an optimality condition, was instantiated in an artificial organism. The algorithm ...
J. J. McDowell, Zahra Ansari
EC
2000
187views ECommerce» more  EC 2000»
13 years 7 months ago
Comparison of Multiobjective Evolutionary Algorithms: Empirical Results
In this paper, we provide a systematic comparison of various evolutionary approaches to multiobjective optimization using six carefully chosen test functions. Each test function i...
Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele
ISPD
2000
ACM
108views Hardware» more  ISPD 2000»
14 years 8 days ago
A hybrid dynamic/quadratic programming algorithm for interconnect tree optimization
In this paper, we present an algorithm for delay minimization of interconnect trees by simultaneous buffer insertion/sizing and wire sizing. The algorithm integrates the quadratic...
Yu-Yen Mo, Chris C. N. Chu