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EVOW
2008
Springer
14 years 11 months ago
A Memory Enhanced Evolutionary Algorithm for Dynamic Scheduling Problems
Abstract. This paper describes a memory enhanced evolutionary algorithm (EA) approach to the dynamic job shop scheduling problem. Memory enhanced EAs have been widely investigated ...
Gregory J. Barlow, Stephen F. Smith
ICAC
2007
IEEE
15 years 1 months ago
Strider Search Ranger: Towards an Autonomic Anti-Spam Search Engine
Search spammers use questionable search engine optimization techniques to promote their spam links into top search results. Large-scale spammers target commerce queries that they ...
Yi-Min Wang, Ming Ma
KES
2005
Springer
15 years 3 months ago
A Robust Approach for Improving Computational Efficiency of Order-Picking Problems
The new market forces have affected the operation of distribution centers (DCs) extremely. The DCs demand an increased productivity and a low cost in their daily operation. This pa...
Yu-Min Chiang, Shih-Hsin Chen, Kuo-Chang Wu
JMLR
2010
143views more  JMLR 2010»
14 years 8 months ago
A Quasi-Newton Approach to Nonsmooth Convex Optimization Problems in Machine Learning
We extend the well-known BFGS quasi-Newton method and its memory-limited variant LBFGS to the optimization of nonsmooth convex objectives. This is done in a rigorous fashion by ge...
Jin Yu, S. V. N. Vishwanathan, Simon Günter, ...
WSC
2004
14 years 11 months ago
Simulation Optimization Using Balanced Explorative and Exploitative Search
We present a new random search method for solving simulation optimization problems. Our approach emphasizes the need for maintaining the right balance between exploration and expl...
Andrei A. Prudius, Sigrún Andradótti...