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GECCO
2005
Springer
143views Optimization» more  GECCO 2005»
15 years 12 months ago
Solving geometric TSP with ants
This paper presents an ant-based approach for solving the Traveling Salesman Problem (TSP). Novel concepts of this algorithm that distinguish it from the other heuristics are the ...
Thang Nguyen Bui, Mufit Colpan
GECCO
2005
Springer
109views Optimization» more  GECCO 2005»
15 years 12 months ago
Information landscapes and the analysis of search algorithms
In [15] we introduced the information landscape as a new concept of a landscape. We showed that for a landscape of a small size, information landscape theory can be used to predic...
Yossi Borenstein, Riccardo Poli
GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
15 years 12 months ago
Preventing overfitting in GP with canary functions
Overfitting is a fundamental problem of most machine learning techniques, including genetic programming (GP). Canary functions have been introduced in the literature as a concept ...
Nate Foreman, Matthew P. Evett
GECCO
2005
Springer
15 years 12 months ago
A theoretical analysis of the HIFF problem
We present a theoretical analysis of Watson’s Hierarchicalif-and-only-if (HIFF) problem using a variety of tools. These include schema theory and course graining, the concept of...
Nicholas Freitag McPhee, Ellery Fussell Crane
GECCO
2005
Springer
103views Optimization» more  GECCO 2005»
15 years 12 months ago
Pricing the 'free lunch' of meta-evolution
A number of recent studies introduced meta-evolutionary strategies and successfully used them for solving problems in genetic programming. While individual results indicate possib...
Alexei V. Samsonovich, Kenneth A. De Jong