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NICSO
2010
Springer
15 years 10 months ago
Accelerated Genetic Algorithms with Markov Chains
t] Based on the mutation matrix formalism and past statistics of genetic algorithm, a Markov Chain transition probability matrix is introduced to provide a guided search for comple...
Guan Wang, Chen Chen, Kwok Yip Szeto
HPCC
2007
Springer
15 years 10 months ago
A New Method for Multi-objective TDMA Scheduling in Wireless Sensor Networks Using Pareto-Based PSO and Fuzzy Comprehensive Judg
In wireless sensor networks with many-to-one transmission mode, a multi-objective TDMA (Time Division Multiple Access) scheduling model is presented, which concerns about the packe...
Tao Wang, Zhiming Wu, Jianlin Mao
GECCO
2009
Springer
131views Optimization» more  GECCO 2009»
15 years 10 months ago
Adaptive evolution: an efficient heuristic for global optimization
This paper presents a novel evolutionary approach to solve numerical optimization problems, called Adaptive Evolution (AEv). AEv is a new micro-population-like technique because i...
Francisco Viveros Jiménez, Efrén Mez...
HAIS
2009
Springer
15 years 10 months ago
Beyond Homemade Artificial Data Sets
One of the most important challenges in supervised learning is how to evaluate the quality of the models evolved by different machine learning techniques. Up to now, we have relied...
Núria Macià, Albert Orriols-Puig, Es...
EH
2004
IEEE
106views Hardware» more  EH 2004»
15 years 10 months ago
How to Evolve the Head-Tail Pattern from Reaction-Diffusion Systems
The possible application of evolving artificial embryos to build functional machinery is a promising area of research. Unfortunately, there are still many fundamental problems to ...
Felix Streichert, Christian Spieth, Holger Ulmer, ...