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PPSN
2010
Springer
13 years 3 months ago
Optimizing Delivery Time in Multi-Objective Vehicle Routing Problems with Time Windows
The Vehicle Routing Problem with Time Windows involves ï¬nding the lowest-cost set of routes to deliver goods to customers, which have service time windows, using a homogeneous ï¬...
Abel Garcia-Najera, John A. Bullinaria
GECCO
2005
Springer
130views Optimization» more  GECCO 2005»
13 years 10 months ago
Quality-time analysis of multi-objective evolutionary algorithms
A quality-time analysis of multi-objective evolutionary algorithms (MOEAs) based on schema theorem and building blocks hypothesis is developed. A bicriteria OneMax problem, a hypo...
Jian-Hung Chen, Shinn-Ying Ho, David E. Goldberg
HIS
2008
13 years 6 months ago
Evaluating Ranking Composition Methods for Multi-Objective Optimization of Knowledge Rules
Most symbolic classifiers aim at building sets of rules with good coverage and precision. While this is suitable for most applications, they tend to neglect other desirable proper...
Rafael Giusti, Gustavo E. A. P. A. Batista, Ronald...
CEC
2008
IEEE
13 years 11 months ago
An investigation on evolutionary gradient search for multi-objective optimization
—Evolutionary gradient search is a hybrid algorithm that exploits the complementary features of gradient search and evolutionary algorithm to achieve a level of efï¬ciency and r...
Chi Keong Goh, Yew-Soon Ong, Kay Chen Tan, Eu Jin ...
HIS
2007
13 years 6 months ago
Pareto-based Multi-Objective Machine Learning
—Machine learning is inherently a multiobjective task. Traditionally, however, either only one of the objectives is adopted as the cost function or multiple objectives are aggreg...
Yaochu Jin