Results 271 to 280 of about 382,542 (325)

Biogeography Migration Algorithm for Traveling Salesman Problem

Lecture Notes in Computer Science, 2010
PurposeBiogeography‐based optimization algorithm is a new kind of optimization algorithm based on biogeography. It is designed based on the migration strategy of animals to solve the problem of optimization. The purpose of this paper is to present a new algorithm – biogeography migration algorithm for traveling salesman problem (TSPBMA).
Hongwei Mo
exaly   +2 more sources

Animal migration optimization: an optimization algorithm inspired by animal migration behavior

Neural Computing and Applications, 2013
In this paper, we intend to propose a new heuristic optimization method, called animal migration optimization algorithm. This algorithm is inspired by the animal migration behavior, which is a ubiquitous phenomenon that can be found in all major animal groups, such as birds, mammals, fish, reptiles, amphibians, insects, and crustaceans.
xiangtao Li, Minghao Yin
exaly   +2 more sources

Self-organizing migrating algorithm with clustering-aided migration

Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion, 2020
This paper proposes a novel migration strategy for Self-organizing Migrating Algorithm (SOMA), which combines advantages of the explorative All-To-Random migration with new exploitation focused All-To-Cluster-Leaders strategy. The main goal of this novel innovation to SOMA is to deliver competitive results, not only on the latest CEC 2020 benchmark set
Tomas Kadavy   +3 more
openaire   +2 more sources

Algorithms for Data Migration

Algorithmica, 2008
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Eric Anderson 0003   +7 more
openaire   +2 more sources

A new process migration algorithm

ACM SIGOPS Operating Systems Review, 1997
Process migration has been advocated as a means of improving the load balancing and reliability of distributed systems. This paper reviews the major design issues for process migration algorithms, such as the amount of state information to be transferred and times at which information should be transferred.
Michael Richmond, Michael Hitchens
openaire   +1 more source

Migration Model of jSO Algorithm

2018 25th International Conference on Systems, Signals and Image Processing (IWSSIP), 2018
Differential evolution (DE) algorithm is widely used optimization method. A population of popular adaptive DE variant (jSO) is distributed to several sub-populations to increase its efficiency. Three crucial control parameters of proposed migration model (mSO) are experimentally studied.
Petr Bujok, Radka Polakova
openaire   +1 more source

Seismic migration algorithms on multiprocessors

ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing, 2003
The authors study seismic migration algorithms in order to develop a general framework for analyzing such algorithms and to propose some coarse-grained paradigms for computation of parallel computers. They analyze a few typical examples of the various migration techniques existing in literature, and discuss methods to optimize their performance on ...
Vijay K. Madisetti   +1 more
openaire   +1 more source

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