Efficient Subpopulation Based Parallel TLBO Optimization Algorithms

Efficient parallel LAN/WAN algorithms for optimization. The mallba project

The MALLBA project tackles the resolution of combinatorial optimization problems using generic algorithmic skeletons implemented in C++. A skeleton in the MALLBA library implements an optimization method in one of the three families of generic optimization techniques offered: exact, heuristic and hybrid. Moreover, for each of those methods, MALLBA provides three different implementations: seque...

Efficient Algorithms for Optimization-Based Image Segmentation

Parallel Optimization of Evolutionary Algorithms

A parallel two-level evolutionary algorithm which evolves genetic algorithms of maximum convergence velocity is presented. The meta-algorithm combines principles of evolution strategies and genetic algorithms in order to optimize continuous and discrete parameters of the genetic algorithms at the same time (mixed-integer optimization). The genetic algorithms which result from the meta-evolution...

Work efficient parallel scheduling algorithms

Scheduling the execution of parallel algorithms on parallel computers is a main issue in current research. Parallel computers can be used to solve scheduling problems very fast and we might be able to tackle new applications, where schedules must be obtained very quickly. Although the importance of parallel scheduling algorithms has been widely recognized, only few results have been obtained so...

Efficient Parallel Convex Hull Algorithms

A bstract-In this paper, we present parallel algorithms to identifv (i.e., detect and enumerate) the extreme points of the convex hull of a set of planar points using a hypercube, pyramid, tree, mesh-of-trees, mesh with reconfigurable bus, EREW PRAM, and a modified AKS network. It is known that the problem of identifying the convex hull for a set of planar points given arbitrarily cannot be sol...