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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
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Self-organizing migrating algorithm with clustering-aided migration
Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion, 2020This 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
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Algorithmica, 2008
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Eric Anderson 0003 +7 more
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Eric Anderson 0003 +7 more
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A new process migration algorithm
ACM SIGOPS Operating Systems Review, 1997Process 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
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Migration Model of jSO Algorithm
2018 25th International Conference on Systems, Signals and Image Processing (IWSSIP), 2018Differential 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
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Seismic migration algorithms on multiprocessors
ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing, 2003The 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
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An algorithm for selection of migration candidates
ACM SIGMICRO Newsletter, 1984The NP-Completeness of the selection problem of vertical migration candidates is shown by reducing it to the NP-complete knapsack problem. Based on approximation algorithms for the latter problem a new algorithm is presented, which takes into account the call relations between functions in a complex system.
Bernhard Holtkamp, P. Wagner
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Improved Approximation Algorithms for Data Migration
Algorithmica, 2011zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Samir Khuller +2 more
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Improved Algorithms for Data Migration
2006Our work is motivated by the need to manage data on a collection of storage devices to handle dynamically changing demand. As demand for data changes, the system needs to automatically respond to changes in demand for different data items. The problem of computing a migration plan among the storage devices is called the data migration problem.
Samir Khuller +2 more
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Population migration algorithm for eigenvalue of matrix
2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD), 2016Aiming at the shortcomings of solving eigenvalues and eigenvectors of matrix by using traditional methods, this paper proposes the population migration algorithm based on speed, which can convert solving matrix eigenvalue problem to unconstrained optimization problems, and take a population migration algorithm to solve matrix eigenvalues and ...
Yanbin Liu, Liqiong Li, Xuyu Peng
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