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Enhancing Efficiency of Hierarchical BOA Via Distance-Based Model Restrictions [chapter]

Mark Hauschild, Martin Pelikan
2008 Lecture Notes in Computer Science  
Keywords Hierarchical BOA, efficiency enhancement, learning from experience, probabilistic model, model structure, model complexity, estimation of distribution algorithms.  ...  This paper analyzes the effects of restricting probabilistic models in the hierarchical Bayesian optimization algorithm (hBOA) by defining a distance metric over variables and disallowing dependencies  ...  Office of Scientific Research, or the U.S.  ... 
doi:10.1007/978-3-540-87700-4_42 fatcat:27zrnbk7dzd27iflo7ao7vx4mu

Scalable estimation-of-distribution program evolution

Moshe Looks
2007 Proceedings of the 9th annual conference on Genetic and evolutionary computation - GECCO '07  
I present a new estimation-of-distribution approach to program evolution where distributions are not estimated over the entire space of programs.  ...  Metaoptimizing semantic evolutionary search (MOSES), a program evolution system based on this approach, is described, and its representation-building subcomponent is analyzed in depth.  ...  For example, the ECGP models non-overlapping building blocks, while the BAP models overlapping but nonhierarchical building blocks, and BOA programming models overlapping hierarchical building blocks.  ... 
doi:10.1145/1276958.1277072 dblp:conf/gecco/Looks07 fatcat:ion2ltl5xza6bj2h2ajddk7fpa

Intelligent bias of network structures in the hierarchical BOA

Mark W. Hauschild, Martin Pelikan
2009 Proceedings of the 11th Annual conference on Genetic and evolutionary computation - GECCO '09  
Keywords Hierarchical BOA, efficiency enhancement, learning from experience, probabilistic model, model structure, model complexity, estimation of distribution algorithms.  ...  This paper presents an approach to bias the building of Bayesian network models in the hierarchical Bayesian optimization algorithm (hBOA) using information gathered from models generated during previous  ...  That is why when enhancing efficiency of model building in hBOA, the primary focus is typically on learning the structure.  ... 
doi:10.1145/1569901.1569959 dblp:conf/gecco/HauschildP09 fatcat:u3hu4w66gbaxbavhj5vvyxnnle

Model-based evolutionary algorithms

Dirk Thierens, Peter A. N. Bosman
2018 Proceedings of the Genetic and Evolutionary Computation Conference Companion on - GECCO '18  
Acknowledgements ◮ Selected images were re-used from the 2012 GECCO tutorial "Probabilistic Model-building Genetic Algorithms" by Martin Pelikan.  ...  GECCO 2018 Tutorial -Model-Based Evolutionary Algorithms. 37/122 Linkage Tree Learning ◮ This agglomerative hierarchical clustering algorithm is computationally efficient.  ...  GECCO 2018 Tutorial -Model-Based Evolutionary Algorithms. 31/122 Linkage Tree ◮ Linkage Tree structure: subsets of FOS F form a hierarchical clustering.  ... 
doi:10.1145/3205651.3207874 dblp:conf/gecco/ThierensB18 fatcat:mjsqksmkunbkba3e2a6jfyyli4

Model-based evolutionary algorithms

Dirk Thierens, Peter A. N. Bosman
2019 Proceedings of the Genetic and Evolutionary Computation Conference Companion on - GECCO '19  
Acknowledgements ◮ Selected images were re-used from the 2012 GECCO tutorial "Probabilistic Model-building Genetic Algorithms" by Martin Pelikan.  ...  GECCO 2019 Tutorial -Model-Based Evolutionary Algorithms. 37/122 Linkage Tree Learning ◮ This agglomerative hierarchical clustering algorithm is computationally efficient.  ...  GECCO 2019 Tutorial -Model-Based Evolutionary Algorithms.Experiments: conclusion ◮ LTGA (= GOMEA with LT FOS) very efficient on Deceptive Trap function, Nearest-Neighbor NK landscape, and Hierarchical  ... 
doi:10.1145/3319619.3323386 dblp:conf/gecco/ThierensB19 fatcat:w6prjwu7wzfe3citnfna2sdcbe

Efficient and Reliable Routing With Cloud Based Source-Location Privacy Protection in Wireless Sensor Networks

R. Nagarajan, G. Maria Priscilla
2021 International Journal of Computer Networks And Applications  
Depending on the ETCs (Expected Transmission Counts), residual energy, and hop count, the optimal paths are chosen with the help of TOPSISs for efficient transmissions.  ...  To seek a solution to this issue, this study proposes ERR-CSLPPs (Efficient and Reliable Routing with Cloud-based Source-Location Privacy Protections) using AAFBOA (Adaptive Adjustment Factor based Butterfly  ...  Suggested BIIE was an enhanced hierarchical clustering method for reducing transmission costs.  ... 
doi:10.22247/ijcna/2021/210722 fatcat:5waxgsvxgnbw3dh7uid7vke5by

Model-based evolutionary algorithms

Dirk Thierens, Peter A.N. Bosman
2014 Proceedings of the 2014 conference companion on Genetic and evolutionary computation companion - GECCO Comp '14  
Acknowledgements ◮ Selected images were re-used from the 2012 GECCO tutorial "Probabilistic Model-building Genetic Algorithms" by Martin Pelikan.  ...  GECCO 2016 Tutorial -Model-Based Evolutionary Algorithms. 23/110 Hierarchical BOA ◮ hBOA (Pelikan, Goldberg; 2001) ◮ Decomposition on multiple levels.  ...  GECCO 2016 Tutorial -Model-Based Evolutionary Algorithms. 32/110 Linkage Tree Learning ◮ This agglomerative hierarchical clustering algorithm is computationally efficient. ◮ Only the mutual information  ... 
doi:10.1145/2598394.2605344 dblp:conf/gecco/ThierensB14 fatcat:ocjcmqpwfbb5ln6hadekywb2hy

Model-Based Evolutionary Algorithms

Dirk Thierens, Peter A.N. Bosman
2016 Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion - GECCO '16 Companion  
Acknowledgements ◮ Selected images were re-used from the 2012 GECCO tutorial "Probabilistic Model-building Genetic Algorithms" by Martin Pelikan.  ...  GECCO 2016 Tutorial -Model-Based Evolutionary Algorithms. 23/110 Hierarchical BOA ◮ hBOA (Pelikan, Goldberg; 2001) ◮ Decomposition on multiple levels.  ...  GECCO 2016 Tutorial -Model-Based Evolutionary Algorithms. 32/110 Linkage Tree Learning ◮ This agglomerative hierarchical clustering algorithm is computationally efficient. ◮ Only the mutual information  ... 
doi:10.1145/2908961.2926975 dblp:conf/gecco/ThierensB16 fatcat:oiriel3cunbnhkqsy452yfypjq

Model-Based Evolutionary Algorithms

Dirk Thierens, Peter A.N. Bosman
2015 Proceedings of the Companion Publication of the 2015 on Genetic and Evolutionary Computation Conference - GECCO Companion '15  
Acknowledgements ◮ Selected images were re-used from the 2012 GECCO tutorial "Probabilistic Model-building Genetic Algorithms" by Martin Pelikan.  ...  GECCO 2016 Tutorial -Model-Based Evolutionary Algorithms. 23/110 Hierarchical BOA ◮ hBOA (Pelikan, Goldberg; 2001) ◮ Decomposition on multiple levels.  ...  GECCO 2016 Tutorial -Model-Based Evolutionary Algorithms. 32/110 Linkage Tree Learning ◮ This agglomerative hierarchical clustering algorithm is computationally efficient. ◮ Only the mutual information  ... 
doi:10.1145/2739482.2756584 dblp:conf/gecco/ThierensB15 fatcat:m3vngle7ong4ngopximusovgoa

Model-based evolutionary algorithms

Dirk Thierens, Peter A.N. Bosman
2013 Proceeding of the fifteenth annual conference companion on Genetic and evolutionary computation conference companion - GECCO '13 Companion  
Acknowledgements ◮ Selected images were re-used from the 2012 GECCO tutorial "Probabilistic Model-building Genetic Algorithms" by Martin Pelikan.  ...  GECCO 2016 Tutorial -Model-Based Evolutionary Algorithms. 23/110 Hierarchical BOA ◮ hBOA (Pelikan, Goldberg; 2001) ◮ Decomposition on multiple levels.  ...  GECCO 2016 Tutorial -Model-Based Evolutionary Algorithms. 32/110 Linkage Tree Learning ◮ This agglomerative hierarchical clustering algorithm is computationally efficient. ◮ Only the mutual information  ... 
doi:10.1145/2464576.2480801 dblp:conf/gecco/ThierensB13a fatcat:5wn2n4yjo5fgvexfq5plx4kb5y

Efficient Sorting and Searching in Rendering Algorithms [article]

Vlastimil Havran, Jiri Bittner
2006 Eurographics State of the Art Reports  
We will present the underlying data structures and their enhancements in the context of specific rendering algorithms such as ray shooting, photon mapping, and hidden surface removal.  ...  For each problem we mention its specific issues such as dimensionality of the search domain or online versus offline searching.  ...  IST-2-004363 (GameTools) and by the Ministry of Education, Youth and Sports of the Czech Republic under the research program LC-06008 (Center for Computer Graphics).  ... 
doi:10.2312/egt.20061061 fatcat:nhf62nzo2jczbhksy3h7oywrs4

A comparative study on energy efficient clustering based on metaheuristic algorithms for WSN

2022 International Journal of Advanced Technology and Engineering Exploration  
To increase energy efficiency during the communication process, the enhanced memetic artificial bee colony (EMABC), global artificial bee colony algorithm based on the cross over and tabu search (CGTABC  ...  As a consequence, the proposed EMABC model performed well in terms of energy efficiency, with an efficiency of 82.44%, an end-to-end delay of 99.68ms, a packet drop rate of 152, a throughput of 680.28Kbps  ...  of Technology, Bangalore, Karnataka, India for their valuable research guidance and support throughout the completion of this project.  ... 
doi:10.19101/ijatee.2021.874823 fatcat:suf3p2nbozcepbpw5qdwvernze

An improved Aquila optimization with fuzzy model based energy efficient cluster routing protocol for wireless sensor networks

Ramakrishnan Ramamoorthy, Rameshkumar Ranganathan, Sivakumar Ramu
2022 Yanbu Journal of Engineering and Science  
In this work, we propose an energy efficient cluster based routing protocol (EEC-HO) for WSN using hybrid optimization algorithm.  ...  The main objective of proposed IAO-Fuzzy model used to compute the trust degree of each node, the highest trust node is considered as CH.  ...  The trustbased and energy-efficient hierarchical routing protocol (LEACH-TM) is proposed based on trust management. 24 ith LEACH-TM, the number of nodes in CH can be used to better manage energy efficiency  ... 
doi:10.53370/001c.34273 fatcat:y43wphohi5g3bgsiihuwdvmqfm

Military antenna design using simple and competent genetic algorithms

Scott Santarelli, Tian-Li Yu, David E. Goldberg, Edward Altshuler, Teresa O'Donnell, Hugh Southall, Robert Mailloux
2006 Mathematical and computer modelling  
A particular procedure, the hierarchical Bayesian optimization algorithm (hBOA) is then briefly outlined, and the remainder of the paper describes collaborative efforts of AFRL and IlliGAL to solve more  ...  This research covers diverse areas of interest, including array pattern synthesis, antenna test-bed design, gain enhancement, electrically-small single bent wire elements, and wideband antenna elements  ...  Hierarchical Decomposition -From BOA to hBOA Hierarchical structures appear in real-world systems and real-world problems [38] .  ... 
doi:10.1016/j.mcm.2005.05.024 fatcat:gshj3444wrgotg2qksmim4r4um

Simplified Modeling and Solving of Logistics Optimization Problems

Hanno Friedrich, Jonathan Gumpp
2014 International Journal of Transportation  
Especially for large problem scopes in logistics and new agent-based freight transport models which have to solve these problems for many agents, simplifying modeling and solving procedures are necessary  ...  The derivation of the related principles is based on the examination of five problems in logistics literature: facility location, distribution system, lot size, bin packing, and vehicle routing.  ...  The reason for this can be a generalization of a problem through the suppression of restrictions and a resulting enhanced flexibility.  ... 
doi:10.14257/ijt.2014.2.1.03 fatcat:bmhipzlngjernkere5kta3m3yq
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