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Page 955 of The Journal of the Operational Research Society Vol. 55, Issue 9 [page]

2004 The Journal of the Operational Research Society  
Costa D and Silver EA (1998). Tabu search when noise is present: an illustration in the context of cause and effect analysis. J Heuristics 4: 5-23. Costa D (1995).  ...  Tabu search. In: Gass SI and Harris CM (eds). Encyclopedia of Operations Research and Management Science, 2nd edn.  ... 

Tabu Search and Adaptive Memory Programming — Advances, Applications and Challenges [chapter]

Fred Glover
1997 Operations Research/Computer Science Interfaces Series  
The goal of this paper is to focus on key themes that are given inadequate attention in many treatments of tabu search.  ...  Finally, we include an Appendix that identifies the elements of tabu search that are most neglected in implementations, and that can significantly improve its performance.  ...  The reason for this ambiguity is that tabu search has been presented with two faces in the literature, causing it to be viewed as two different methods one simpler and one more advanced.  ... 
doi:10.1007/978-1-4615-4102-8_1 fatcat:c2mxzmtf7zbxnftbgcy4o7rfoa

Geometric Manifold Energy and Manifold Clustering [chapter]

Hongyu Li, Qiyong Guo, Jinyuan Jia, Jussi Parkkinen
2009 Lecture Notes in Computer Science  
In addition, we propose the active tabu search method to approximately solve for the optimal solution to energy minimization. We have applied the proposed technique to both synthetic and real data.  ...  Experimental results show that the method is feasible and promising in manifold clustering.  ...  This research work is supported by STCSM Grant No. 08511501001.  ... 
doi:10.1007/978-3-642-01510-6_76 fatcat:l5e75itesrcahhvq6xrshhudge

Performance analysis of comercial simulation-based optimization packages: OptQuest and Witness Optimizer

Hamidreza Eskandari, Ehsan Mahmoodi, Hamed Fallah, Christopher D. Geiger
2011 Proceedings of the 2011 Winter Simulation Conference (WSC)  
Section 5 presents the experimental results and discussion and finally conclusion is given in Section 6.  ...  , performance evaluation and comparative analysis of commercial simulationbased optimization packages have rarely been considered in the literature despite its importance and viability.  ...  Unlike the performance analysis of optimization algorithms in deterministic problems context, we add the level of random noise as a new influential factor affecting the performance of the optimization  ... 
doi:10.1109/wsc.2011.6147946 dblp:conf/wsc/EskandariMFG11 fatcat:46v6ofb6prb2hnirjozv4lvgg4

Heuristics for sampling repetitions in noisy landscapes with fitness caching

Forrest Stonedahl, Susa H. Stonedahl
2010 Proceedings of the 12th annual conference on Genetic and evolutionary computation - GECCO '10  
In this work, we consider the interaction between the technique of "fitness caching" and the straightforward noise reduction approach of "fitness averaging" by repeated sampling.  ...  We derive two analytic measures for quantifying the effects of noise on a cached fitness landscape (probabilities of creating "false switches" and "false optima").  ...  Acknowledgments: We gratefully acknowledge support from NSF grant IIS-0713619, and also thank Dr. Uri Wilensky for his oversight of this project.  ... 
doi:10.1145/1830483.1830532 dblp:conf/gecco/StonedahlS10 fatcat:a3hw3sglnzg2bk4yhtwwgey3se

Predicting online participation through Bayesian network analysis

Elizaveta Kopacheva, Sergi Lozano
2021 PLoS ONE  
Moreover, the direct effect of political interest is mediated by the indirect effects of internal political efficacy and age via political interest.  ...  Using Bayesian network analysis and structural equation modeling to stabilise the structure of the causal relations, the analysis showed that only age, political interest, internal political efficacy and  ...  When used in the context of preconditions of online participation, the three-step analysis, presented in the paper, allowed to conclude that only age, political interest and internal political efficacy  ... 
doi:10.1371/journal.pone.0261663 pmid:34941953 pmcid:PMC8699968 fatcat:ljias6rjyjh27hozdjenjdmkde

Training neural nets with the reactive tabu search

R. Battiti, G. Tecchiolli
1995 IEEE Transactions on Neural Networks  
In this paper the task of training subsymbolic systems is considered as a combinatorial optimization problem and solved with the heuristic scheme of the reactive tabu search (RTS).  ...  The RTS method is applicable to nondifferentiable functions, is robust with respect to the random initialization, and effective in continuing the search after local minima.  ...  ACKNOWLEDGMENT The authors wish to thank Dr. B. Caprile and Dr. C. Furlanello for useful comments on a first draft of the manuscript, and S. Struthers for her kind assistance. Prof. R.  ... 
doi:10.1109/72.410361 pmid:18263407 fatcat:6zr3hlgt6nc7zgdn6a43ig5h2q

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Ronald L. Rardin, Reha Uzsoy
2012 Journal of Heuristics  
measures of algorithmic performance, analysis of results, and presentation in papers and talks.  ...  We seek only to highlight the main issues, present alternative ways of addressing them under different circumstances, and caution about pitfalls to avoid.  ...  This research was supported in part by National Science Foundation grant number DMI-96-13708 and by the Intel Corporation.  ... 
doi:10.1023/a:1011319115230 fatcat:4nka6jlzrfgb5ib6ql34fnspai

Exact and heuristic methods for cell suppression in multi-dimensional linked tables

S F Roehrig, R Padman, R Krishnan, G T Duncan
2011 Journal of the Operational Research Society  
An instance of this is when a linear combination of released cells results in unique identification of sensitive cell values. More subtly, there are situations in which the structure, per se, of  ...  More importantly, heuristics are also presented to mitigate the computational difficulty of the integer program. An example is drawn from Federal Reserve Bank records.  ...  A Tabu Search based on MCA Tabu search (Glover and Laguna 1997) is a way of moving through the space of possible suppression patterns for tables A and B.  ... 
doi:10.1057/jors.2010.133 fatcat:h2j5frsuujhonifyoxf33naarm

Fast Active Tabu Search and its Application to Image Retrieval

Chao Zhang, Hongyu Li, Qiyong Guo, Jinyuan Jia, I-Fan Shen
2009 International Joint Conference on Artificial Intelligence  
The retrieval is treated as searching for an ordered cycle in an image database. The optimal cycle can be found by minimizing the geometric manifold entropy of images.  ...  The minimization is solved by the proposed method, fast active tabu search. Experimental results demonstrate the framework for image retrieval is feasible and quite promising.  ...  Examples Figure 1 illustrates the procedure of finding the minimal entropy on a synthetic toy of 32 input data, which gives an intuition about how the active tabu search works.  ... 
dblp:conf/ijcai/ZhangLGJS09 fatcat:hhcuw2ivafclpb72vfumlwd54y

Reactive Search Optimization: Learning While Optimizing [chapter]

Roberto Battiti, Mauro Brunato
2010 International Series in Operations Research and Management Science  
done in an automated way, and a comprehensive solution is delivered to the final user.  ...  The final purpose of Reactive Search Optimization (RSO) is to simplify the life for the final user of optimization.  ...  A worst-case analysis of tabu search as a function of the tabu list length for the MAX-TWO-SAT problem is presented in [97] , with applications also to a reactive determination of the prohibition.  ... 
doi:10.1007/978-1-4419-1665-5_18 fatcat:vimnftpcvrfw7cresqaddwhp64

Fine-Tuning of Algorithms Using Fractional Experimental Designs and Local Search

Belarmino Adenso-Díaz, Manuel Laguna
2006 Operations Research  
This is particularly true when developing heuristics and metaheuristics, where the "right" choice of values for search parameters has a considerable effect on the performance of the procedure.  ...  When testing metaheuristics, performance typically is measured considering both the quality of the solutions obtained and the time needed to find them.  ...  The local search is guided by the analysis of main effects in the experimental design phase.  ... 
doi:10.1287/opre.1050.0243 fatcat:qjkvoafpvbezriwkjgrryjiowq

Reactive Search: Machine Learning for Memory-Based Heuristics [chapter]

Roberto Battiti, Mauro Brunato
2018 Handbook of Approximation Algorithms and Metaheuristics, Second Edition  
Reactive Search applied to Tabu Search (RTS) In this Section, we illustrate the potential of Reactive Search by installing a reaction mechanism on the prohibition period T of a Tabu Search [35] algorithm  ...  An example of the behavior of T during the search is illustrated in Fig. 1 , for a Quadratic Assignment Problem task [11] .  ...  Local variables L Nodes in V not moved yet 1. procedure Restart 2. relevant data structures are reinitialized 9. Incremental-Update (v, addMove)  ... 
doi:10.1201/9781351236423-19 fatcat:foiafvbalbdjriazzrhhbrfkvy

Promising cannabinoid-based therapies for Parkinson's disease: motor symptoms to neuroprotection

Sandeep Vasant More, Dong-Kug Choi
2015 Molecular Neurodegeneration  
In recent years, the application of metaheuristic techniques to solve multi-objective optimization problems (MOPs) has become an active research area.  ...  Solving these kinds of problems involves obtaining a set of Pareto-optimal solutions in such a way that the corresponding Pareto front fulfills the requirements of convergence to the true Pareto front  ...  Multi-objective Tabu Search Tabu Search is a metaheuristic based on explicitly using the history of the search, both to escape from local minima and to implement an exploration strategy.  ... 
doi:10.1186/s13024-015-0012-0 pmid:25888232 pmcid:PMC4404240 fatcat:pejeg6cefbcdro7u4uot24pkxa

Multi-objective optimization using metaheuristics: non-standard algorithms

El-Ghazali Talbi, Matthieu Basseur, Antonio J. Nebro, Enrique Alba
2012 International Transactions in Operational Research  
In recent years, the application of metaheuristic techniques to solve multi-objective optimization problems (MOPs) has become an active research area.  ...  Solving these kinds of problems involves obtaining a set of Pareto-optimal solutions in such a way that the corresponding Pareto front fulfills the requirements of convergence to the true Pareto front  ...  Multi-objective Tabu Search Tabu Search is a metaheuristic based on explicitly using the history of the search, both to escape from local minima and to implement an exploration strategy.  ... 
doi:10.1111/j.1475-3995.2011.00808.x fatcat:wkcurdztanek5i5ptwfikqha3a
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