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» Solving Demodulation as an Optimization Problem
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GECCO
2009
Springer
164views Optimization» more  GECCO 2009»
13 years 7 months ago
Solving iterated functions using genetic programming
An iterated function f(x) is a function that when composed with itself, produces a given expression f(f(x))=g(x). Iterated functions are essential constructs in fractal theory and...
Michael D. Schmidt, Hod Lipson
PPSN
2010
Springer
13 years 8 months ago
Design and Comparison of two Evolutionary Approaches for Solving the Rubik's Cube
Solutions calculated by Evolutionary Algorithms have come to surpass exact methods for solving various problems. The Rubik’s Cube multiobjective optimization problem is one such ...
Nail El-Sourani, Markus Borschbach
AAAI
2000
13 years 11 months ago
Combining Knowledge and Search to Solve Single-Suit Bridge
In problem solving, it is often important not only to find a solution but also to be able to explain it. We use the game of Bridge to illustrate how tactics, which formalise domai...
Ian Frank, David A. Basin, Alan Bundy
ICDE
2012
IEEE
252views Database» more  ICDE 2012»
12 years 11 days ago
Approximate String Membership Checking: A Multiple Filter, Optimization-Based Approach
— We consider the approximate string membership checking (ASMC) problem of extracting all the strings or substrings in a document that approximately match some string in a given ...
Chong Sun, Jeffrey F. Naughton, Siddharth Barman
ESWA
2010
175views more  ESWA 2010»
13 years 8 months ago
A multi-objective PSO for job-shop scheduling problems
Most previous research into the job-shop scheduling problem has concentrated on finding a single optimal solution (e.g., makespan), even though the actual requirement of most prod...
D. Y. Sha, Hsing-Hung Lin