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» Hybrid Optimizations: Which Optimization Algorithm to Use
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IPPS
2007
IEEE
15 years 9 months ago
Distributed Adaptive Particle Swarm Optimizer in Dynamic Environment
Particle Swarm Optimization (PSO) is a population-based stochastic optimization technique, which can be used to find an optimal, or near optimal, solution to a numerical and quali...
Xiaohui Cui, Thomas E. Potok
PG
2003
IEEE
15 years 8 months ago
Bounding Recursive Procedural Models Using Convex Optimization
We present an algorithm to construct a tight bounding polyhedron for a recursive procedural model. We first use an iterated function system (IFS) to represent the extent of the p...
Orion Sky Lawlor, John C. Hart
ANTSW
2010
Springer
14 years 10 months ago
A Deterministic Metaheuristic Approach Using "Logistic Ants" for Combinatorial Optimization
Abstract. Ant algorithms are usually derived from a stochastic modeling based on some specific probability laws. We consider in this paper a full deterministic model of "logis...
Rodolphe Charrier, Christine Bourjot, Franç...
CVPR
2011
IEEE
15 years 27 days ago
Globally-Optimal Greedy Algorithms for Tracking a Variable Number of Objects
We analyze the computational problem of multi-object tracking in video sequences. We formulate the problem using a cost function that requires estimating the number of tracks, as ...
Hamed Pirsiavash, Deva Ramanan, Charless Fowlkes
127
Voted
CDC
2009
IEEE
138views Control Systems» more  CDC 2009»
15 years 1 months ago
Beyond local optimality: An improved approach to hybrid model learning
Abstract-- Local convergence is a limitation of many optimization approaches for multimodal functions. For hybrid model learning, this can mean a compromise in accuracy. We develop...
Stephanie Gil, Brian Williams