What Works Best When? A Framework for Systematic Heuristic Evaluation Iain Dunning, Swati Gupta, John Silberholz Operations Research Center, Massachusetts Institute of Technology, Cambridge, MA 02139 , sw

First Page		Document Content
Date: 2015-05-04 12:28:03 Operations research Heuristics Mathematics Mathematical optimization Cognition Applied mathematics Search algorithms Hyper-heuristic Travelling salesman problem Genetic algorithm Algorithm Local search		What Works Best When? A Framework for Systematic Heuristic Evaluation Iain Dunning, Swati Gupta, John Silberholz Operations Research Center, Massachusetts Institute of Technology, Cambridge, MA 02139 , sw Add to Reading List Source URL: www.optimization-online.org Download Document from Source Website File Size: 760,71 KB Share Document on Facebook

	1 New results on reduced-round Tiny Encryption Algorithm using genetic programming Karel Kubíˇcek, Jiˇrí Novotný, Petr Švenda, Martin Ukrop Masaryk University, Brno, Czech Republic DocID: 1vfW5 - View Document
	Lattice Optimization Using Multi-Objective Genetic Algorithm Vadim Sajaev, Michael Borland Mini-workshop on ICA in Beam Measurements and Genetic Algorithm in Nonlinear Beam Dynamics March 14, 2012 DocID: 1v00v - View Document
	BOOKS ET AL. cesses of inheritance, mutation, recombination, and selection: the genetic algorithm. He has also written extensively about cognitive science, the brain as a complex system, and adaptation in general (1). In DocID: 1uswV - View Document
	SPARC-BDMarch 2010 RF gun cell length effect on the electron beam dynamics. Optimization study with a genetic algorithm A. Bacci, M. Ferrario DocID: 1uro7 - View Document
	PATTERN IDENTIFICATION OF TIME SERIES EVENTS: A PARALLEL GENETIC ALGORITHM APPROACH Stellios Keskinidis Bachelor of Information Technology, Honours DocID: 1unAZ - View Document