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GECCO
2007
Springer
156views Optimization» more  GECCO 2007»
14 years 2 months ago
Nonlinearity linkage detection for financial time series analysis
Standard detection algorithms for nonlinearity linkage fail when applied to typical problems in the analysis of financial time-series data. We explain how this failure arises whe...
Theodore Chiotis, Christopher D. Clack
CCE
2004
13 years 8 months ago
Computational studies using a novel simplicial-approximation based algorithm for MINLP optimization
Significant advances have been made in the last two decades for the effective solution of mixed integer non-linear programming (MINLP) problems, mainly by exploiting the special s...
Vishal Goyal, Marianthi G. Ierapetritou
APLAS
2008
ACM
13 years 10 months ago
Context-Sensitive Relevancy Analysis for Efficient Symbolic Execution
Abstract. Symbolic execution is a flexible and powerful, but computationally expensive technique to detect dynamic behaviors of a program. In this paper, we present a context-sensi...
Xin Li, Daryl Shannon, Indradeep Ghosh, Mizuhito O...
GECCO
2009
Springer
14 years 1 months ago
Search based data sensitivity analysis applied to requirement engineering
Software engineering is plagued by problems associated with unreliable cost estimates. This paper introduces an approach to sensitivity analysis for requirements engineering. It u...
Mark Harman, Jens Krinke, Jian Ren, Shin Yoo
GECCO
2005
Springer
142views Optimization» more  GECCO 2005»
14 years 2 months ago
Genetic programming: parametric analysis of structure altering mutation techniques
We hypothesize that the relationship between parameter settings, speci cally parameters controlling mutation, and performance is non-linear in genetic programs. Genetic programmin...
Alan Piszcz, Terence Soule