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Tracking extrema in dynamic environments [chapter]

Peter J. Angeline
1997 Lecture Notes in Computer Science  
For dynamic functions, the interest is not to obtain the extrema but to follow it as closely as possible.  ...  This paper compares the on-line extrema tracking performance of an evolutionary program without self-adaptation against an evolutionary program using a self-adaptive Gaussian update rule over a number  ...  as in most dynamic environments.  ... 
doi:10.1007/bfb0014823 fatcat:4n6hivyra5eejg63uq4u4rteg4

Tracking Extrema in Dynamic Environment using Multi-Swarm Cellular PSO with Local Search [article]

Somayeh Nabizadeh, Alireza Rezvanian, Mohammad Reza Meybodi
2013 arXiv   pre-print
In such cases, the environment problem changes dynamically and therefore, conventional methods are not capable of dealing with such problems.  ...  Simulation results for static standard benchmarks and dynamic environments show superiority of the proposed method over other alternative approaches.  ...  Dynamic Environments In order to evaluate the proposed algorithm in dynamic environments, several experiments performed on two famous dynamic environments as moving parabolic function and moving peaks  ... 
arXiv:1307.8279v1 fatcat:fqubjcyfbvaxpp7hccpocoznym

Tracking Extrema in Dynamic Environments Using a Learning Automata-Based Immune Algorithm [chapter]

Alireza Rezvanian, Mohammad Reza Meybodi
2010 Communications in Computer and Information Science  
Learning automata based immune algorithm for dynamic environment has been tested in the moving parabola as a popular standard dynamic environment and compared by several famous algorithms in dynamic environments  ...  In the proposed algorithm, the immune cells are equipped with a learning automaton. So they can increase diversity in response the dynamic environments.  ...  In these problems, the extrema change along the landscape during time [1] . Due to lack of traditional optimization algorithms to trace the optima they failed in the non-stationary environments.  ... 
doi:10.1007/978-3-642-17625-8_22 fatcat:m6yzsdzfrfapjauzwcazelr3hi

Tracking extrema in dynamic environments using a coevolutionary agent-based model of genotype edition

Chien-Feng Huang, Luis M. Rocha
2005 Proceedings of the 2005 conference on Genetic and evolutionary computation - GECCO '05  
editors to facilitate the tracking of the extrema in dynamic environments.  ...  For dynamic environments, the interest is not to locate the extrema but to follow it as closely as possible.  ...  extrema in dynamic environments.  ... 
doi:10.1145/1068009.1068099 dblp:conf/gecco/HuangR05 fatcat:233jig4euvdzzb5iv4zxmwrsnq

Comparing particle swarms for tracking extrema in dynamic environments

Xiaodong Li, Khanh Hoa Dam
The 2003 Congress on Evolutionary Computation, 2003. CEC '03.  
This paper presents a comparative study of particle swarm models on their abilities to track extrema in dynamic environments.  ...  A standard PSO, two randomized PSOs, and a fine-grained PSO are evaluated in non-trivial multimodal dynamic environments involving small constant step changes, different large step changes, many chaotic  ...  on PSO's ability to track extrema in more complex multimodal dynamic environments.  ... 
doi:10.1109/cec.2003.1299887 fatcat:nrsnxhdmbfeqhlnh6otssahmru

Binary ant algorithm

Carlos M. Fernandes, Agostinho C. Rosa, Vitorino Ramos
2007 Proceedings of the 9th annual conference on Genetic and evolutionary computation - GECCO '07  
When facing dynamic optimization problems the goal is no longer to find the extrema, but to track their progression through the space as closely as possible.  ...  While counterproductive in classic problems, the main and obvious reason of using it in severe dynamic problems is simple: while we engage ourselves in exploiting the extrema, the extrema moves elsewhere  ...  BAA not only follows properly the optimum in the first environment, but also maintains the sameefficiency when tracking the extrema when the function changes.  ... 
doi:10.1145/1276958.1276965 dblp:conf/gecco/FernandesRR07 fatcat:j2t2ut4pzvclhdnt3ytad4j7za

On Self-Regulated Swarms, Societal Memory, Speed and Dynamics [article]

Vitorino Ramos, Carlos Fernandes, Agostinho C. Rosa
2005 arXiv   pre-print
In order to test his adaptive response and robustness, we have recurred to different dynamic multimodal complex functions as well as to Dynamic Optimization Control problems, measuring reaction speeds  ...  of a single individual composing that precise swarm tracking system.  ...  Equation (ODE) solver DOPRI853 developed and coded in FORTRAN by E.  ... 
arXiv:cs/0512002v1 fatcat:dbaaxababjahnpzhznq65ans6y

CDEPSO: a bi-population hybrid approach for dynamic optimization problems

Javidan Kazemi Kordestani, Alireza Rezvanian, Mohammad Reza Meybodi
2014 Applied intelligence (Boston)  
Many real-world optimization problems are dynamic, in which the environment, i.e. the objective function and restrictions, can change over time.  ...  Several mechanisms are used to increase the efficiency of CDEPSO when finding and tracking peaks in the solution space. A set of experiments was carried out to evaluate the performance of the  ...  Nabizadeh S, Rezvanian A, Meybodi MR (2012) Tracking extrema in dynamic environment using multi-swarm cellular PSO with local search.  ... 
doi:10.1007/s10489-013-0483-z fatcat:ixlbeu7t2jcrnfrvbak2ljutj4

Recent Advances in Periscope for Performance Analysis and Tuning [chapter]

Yury Oleynik, Robert Mijaković, Isaías A. Comprés Ureña, Michael Firbach, Michael Gerndt
2014 Tools for High Performance Computing 2013  
properties 30.08.2013 Yury Oleynik, oleynik@in.tum.Track extremas and inflexion points from coarse to fine scales b) Label intervals between extremas and inflexion points c) Extract maximum "lifetime"  ...  codelet tuning points: Tuning of the Master-Worker Pattern in MPI • Tuning points and tuning actions -MPI environment parameters • MPI application mapping adapting tasks per node/core, adapting the affinity  ...  Automatic Performance Dynamics Analysis with Periscope: Analysis Steps  ... 
doi:10.1007/978-3-319-08144-1_4 dblp:conf/ptw/OleynikMUFG13 fatcat:hxn7zlyanfgbnmj2eewpdahqmq

Path planning for data assimilation in mobile environmental monitoring systems

Franz S. Hover
2009 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems  
This aspect of the problem has significant implications because the trajectories generated are very different from those which do not take the assimilation step into account, and their performance in controlling  ...  tracked.  ...  For instance, a group of vehicles tracking a gradient or a level contour constitutes a very dynamic system, and the model of the physical process in this case could be quite simple, involving perhaps only  ... 
doi:10.1109/iros.2009.5354367 dblp:conf/iros/Hover09 fatcat:klcxge4xobd5xjml42lwfr725q

A Virtual Keyboard Based on True-3D Optical Ranging

H. Du, T. Oggier, F. Lustenberger, E. Charbon
2005 Procedings of the British Machine Vision Conference 2005  
The system can be used in any application requiring zero form factor and minimized or no contact with a medium, as in a large number of cases in human-to-computer interaction, virtual reality, game control  ...  In this paper, a complete system is presented which mimics a QWERTY keyboard on an arbitrary surface.  ...  The dynamic event detection algorithm is discussed in Section 4, where we describe the techniques for fingertip and keystroke detection. Results are presented in Section 5.  ... 
doi:10.5244/c.19.27 dblp:conf/bmvc/DuOLC05 fatcat:rmcujopxybeadbrz3jfgbesr4y

An efficient oscillating inertia weight of particle swarm optimisation for tracking optima in dynamic environments

Javidan Kazemi Kordestani, Alireza Rezvanian, Mohammad Reza Meybodi
2015 Journal of experimental and theoretical artificial intelligence (Print)  
However, in dynamic environments, the effect of this parameter on increasing the ability of PSO in tracking the changing optimum has been barely considered.  ...  Several strategies have been already suggested and well tested for setting the inertia weight in static environments.  ...  Experimental results Effect of varying inertia weight The experiment examines the effect of inertia weight on the performance of PSO in tracking the extrema on various dynamic scenarios.  ... 
doi:10.1080/0952813x.2015.1020521 fatcat:jnsq5ytgk5ay7pxjdlyvugqiqy

VITAMIN-E: VIsual Tracking And MappINg with Extremely Dense Feature Points [article]

Masashi Yokozuka, Shuji Oishi, Thompson Simon, Atsuhiko Banno
2019 arXiv   pre-print
Unlike conventional methods, the proposed method processes an enormous number of feature points by tracking the local extrema of curvature informed by dominant flow estimation.  ...  In this paper, we propose a novel indirect monocular SLAM algorithm called "VITAMIN-E," which is highly accurate and robust as a result of tracking extremely dense feature points.  ...  Acknowledgements: This work was supported in part by JSPS KAK-ENHI, Japan Grant Numbers 16K16084 and 18K18072, and a project commissioned by the New Energy and Industrial Technology Development Organization  ... 
arXiv:1904.10324v2 fatcat:l4t2qazzufb3zcraxtugmke3ua

Crowd Saliency Detection via Global Similarity Structure

Mei Kuan Lim, Ven Jyn Kok, Chen Change Loy, Chee Seng Chan
2014 2014 22nd International Conference on Pattern Recognition  
Experimental results on public datasets demonstrates the effectiveness of exploiting such extrema in identifying salient regions in various crowd scenarios that exhibit crowding, local irregular motion  ...  The global similarity structure representation allows the discovery of the intrinsic manifold of the motion dynamics, which could not be captured by the low-level representation.  ...  With this assumption, we consider interesting regions as extrema in the underlying crowd motion dynamics in the scene. Detecting these extrema is accomplished in an unsupervised manner.  ... 
doi:10.1109/icpr.2014.678 dblp:conf/icpr/LimKLC14 fatcat:e7qq7bzj2nejzlgz3iwntswd3e

Crowd Saliency Detection via Global Similarity Structure [article]

Mei Kuan Lim, Ven Jyn Kok, Chen Change Loy, Chee Seng Chan
2014 arXiv   pre-print
Experimental results on public datasets demonstrates the effectiveness of exploiting such extrema in identifying salient regions in various crowd scenarios that exhibit crowding, local irregular motion  ...  The global similarity structure representation allows the discovery of the intrinsic manifold of the motion dynamics, which could not be captured by the low-level representation.  ...  With this assumption, we consider interesting regions as extrema in the underlying crowd motion dynamics in the scene. Detecting these extrema is accomplished in an unsupervised manner.  ... 
arXiv:1410.3756v1 fatcat:sdu4kd34tfdotb5647lpnfcxn4
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