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CEC
2011
IEEE
13 years 11 months ago
On universal search strategies for multi-criteria optimization using weighted sums
—We develop a stochastic local search algorithm for finding Pareto points for multi-criteria optimization problems. The algorithm alternates between different single-criterium o...
Julien Legriel, Scott Cotton, Oded Maler
TSMC
1998
78views more  TSMC 1998»
14 years 11 months ago
Automata learning and intelligent tertiary searching for stochastic point location
—Consider the problem of a robot (learning mechanism or algorithm) attempting to locate a point on a line. The mechanism interacts with a random environment which essentially inf...
B. John Oommen, Govindachari Raghunath
GECCO
2007
Springer
124views Optimization» more  GECCO 2007»
15 years 6 months ago
Origin of bursts
The phenomenon of particle bursts, a well-known feature of PSO is investigated. Their origin is concluded to lie in multiplicative stochasticity, previously encountered in the stu...
Tim Blackwell, Daniel Bratton
GECCO
2007
Springer
162views Optimization» more  GECCO 2007»
15 years 6 months ago
Learning noise
In this paper we propose a genetic programming approach to learning stochastic models with unsymmetrical noise distributions. Most learning algorithms try to learn from noisy data...
Michael D. Schmidt, Hod Lipson
GECCO
2009
Springer
103views Optimization» more  GECCO 2009»
15 years 4 months ago
Using performance fronts for parameter setting of stochastic metaheuristics
In this work, we explore the idea that parameter setting of stochastic metaheuristics should be considered as a multiobjective problem. The so-called “performance fronts” pres...
Johann Dréo