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» Evolutionary computation: a unified approach
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ICTAI
2003
IEEE
15 years 5 months ago
Engineering Optimization Using a Simple Evolutionary Algorithm
This paper presents a simple ¢¤£¦¥¨§© Evolution Strategy and three simple selection criteria to solve engineering optimization problems. This approach avoids the use of a...
Efrén Mezura-Montes, Carlos A. Coello Coell...
GECCO
2007
Springer
162views Optimization» more  GECCO 2007»
15 years 3 months ago
Genetic evolution of hierarchical behavior structures
The development of coherent and dynamic behaviors for mobile robots is an exceedingly complex endeavor ruled by task objectives, environmental dynamics and the interactions within...
Brian G. Woolley, Gilbert L. Peterson
CORR
2010
Springer
152views Education» more  CORR 2010»
14 years 12 months ago
Neuroevolutionary optimization
Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...
Eva Volná
PATAT
1995
Springer
122views Education» more  PATAT 1995»
15 years 3 months ago
A Memetic Algorithm for University Exam Timetabling
The scheduling of exams in institutions of higher education is known to be a highly constrained problem. The advent of modularity in many institutions in the UK has resulted in a s...
Edmund K. Burke, James P. Newall, Rupert F. Weare
TEC
2008
98views more  TEC 2008»
14 years 11 months ago
Opposition-Based Differential Evolution
Evolutionary Algorithms (EAs) are well-known optimization approaches to cope with non-linear, complex problems. These population-based algorithms, however, suffer from a general we...
Shahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A...