565 search results - page 56 / 113 » A Guided Monte Carlo Approach to Optimization Problems |
GECCO
2009
Springer
15 years 1 months ago
2009
Springer
This paper presents a novel evolutionary approach to solve numerical optimization problems, called Adaptive Evolution (AEv). AEv is a new micro-population-like technique because i...
CEC
2010
IEEE
14 years 11 months ago
2010
IEEE
This paper presents an adaptation of a novel algorithm based on the foraging behavior of honey bees to solve constrained numerical optimization problems. The modifications focus on...
CPAIOR
2010
Springer
15 years 2 months ago
2010
Springer
We introduce an approach which combines ACO (Ant Colony Optimization) and IBM ILOG CP Optimizer for solving COPs (Combinatorial Optimization Problems). The problem is modeled using...
GECCO
2007
Springer
15 years 4 months ago
2007
Springer
Finding binary sequences with low autocorrelation is a very hard problem with many practical applications. In this paper we analyze several metaheuristic approaches to tackle the ...
ICIAP
2005
ACM
15 years 10 months ago
2005
ACM
This paper presents the scatter search particle filter (SSPF) algorithm and its application to real-time hands and face tracking. SSPF combines sequential Monte Carlo (particle fil...