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  Browse All Reviews > Computing Methodologies (I) > Artificial Intelligence (I.2) > Problem Solving, Control Methods, And Search (I.2.8) > Heuristic Methods (I.2.8...)  
 
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  1-10 of 226 Reviews about "Heuristic Methods (I.2.8...)": Date Reviewed
  A multiagent, dynamic rank-driven multi-deme architecture for real-valued multiobjective optimization
Acan A., Lotfi N.  Artificial Intelligence Review 48(1): 1-29, 2017. Type: Article

Solutions for multiobjective optimization problems find use in architectures that support parallel processing. A new method proposed by Acan and Lotfi is seen to dominate over most other optimization solutions, as is the case with a typical Pareto...

Nov 1 2017
  Scatter search for minimizing weighted tardiness in a single machine scheduling with setups
González M., Palacios J., Vela C., Hernández-Arauzo A.  Journal of Heuristics 23(2-3): 81-110, 2017. Type: Article

Scatter search is a heuristic method of generating nonrandom solutions. It systematically explores the solution space by constructing new trial solutions from reference solutions using context knowledge. A standard template of the process consists...

Nov 1 2017
  Retrieving the maximal time-bounded positive influence set from social networks
Shi T., Cheng S., Cai Z., Li Y., Li J.  Personal and Ubiquitous Computing 20(5): 717-730, 2016. Type: Article

The spread of information about products, ideas, and behaviors, and their adoption, is an important tool in viral marketing and communication strategies in politics. Shi et al. assume that social networks play a unique role in this process, and th...

Nov 15 2016
  Multi-modal biological driver monitoring via ubiquitous wearable body sensor network
Dehzangi O., Williams C.  DH 2015 (Proceedings of the 5th International Conference on Digital Health 2015, Florence, Italy,  May 18-20, 2015) 65-70, 2015. Type: Proceedings

Self-driving cars, or driverless cars, are becoming the future of driving without manual intervention. Currently, the speed of around 25 kilometers per hour (km/h) has been achieved for self-driving cars; however, the research in this direction is...

Aug 20 2015
  Fuzzy logic augmentation of nature-inspired optimization metaheuristics: theory and applications
Castillo O., Melin P.,  Springer Publishing Company, Incorporated, Cham, Switzerland, 2015. 195 pp. Type: Book (978-3-319109-59-6)

This book presents recent developments in a specific area of computational intelligence, namely fuzzy logic augmentation of nature-inspired optimization metaheuristics and their applications. It has two parts, each one consisting of a number of pa...

Feb 18 2015
  Merge-and-shrink abstraction: a method for generating lower bounds in factored state spaces
Helmert M., Haslum P., Hoffmann J., Nissim R.  Journal of the ACM 61(3): 1-63, 2014. Type: Article

Pattern databases are heuristics used in search that rely on abstractions that aggregate states if they agree on a subset of the state variables. This paper considers a more general class of abstractions called merge-and-shrink abstractions. Shrin...

Aug 6 2014
  Theory and principled methods for the design of metaheuristics
Borenstein Y., Moraglio A.,  Springer Publishing Company, Incorporated, Berlin, Germany, 2014. 284 pp. Type: Book (978-3-642332-05-0)

In choosing to place the word “principled” in the title of this book, the editors signal their intention to address the issue of how one can devise heuristics given the “no free lunch” theorem (NFL). This result implies tha...

Jul 10 2014
  Advances in heuristic signal processing and applications
Chatterjee A., Nobahari H., Siarry P.,  Springer Publishing Company, Incorporated, New York, NY, 2013. 394 pp. Type: Book (978-3-642378-79-9)

Signal detection in the presence of noise is a difficult optimization problem. To obtain computationally reasonable algorithms, it is necessary to use heuristics to reduce the computations. This book is an edited series of chapters by different au...

Feb 20 2014
  Attribute-aware data aggregation using potential-based dynamic routing in wireless sensor networks
Ren F., Zhang J., Wu Y., He T., Chen C., Lin C.  IEEE Transactions on Parallel and Distributed Systems 24(5): 881-892, 2013. Type: Article

Data aggregation is an important requirement in some types of wireless sensor network (WSN) applications, where generated data packets are delivered to a base station only after in-network data aggregation. Data aggregation in WSNs mitigates data ...

Sep 12 2013
  Exploration and exploitation in evolutionary algorithms: a survey
Črepinek M., Liu S., Mernik M.  ACM Computing Surveys 45(3): 1-33, 2013. Type: Article

In this survey paper, the authors tackle an important issue concerning the solution of an optimization problem using search. The paper revisits almost 100 papers in connection with exploration and exploitation in evolutionary algorithms (EAs)....

Aug 21 2013
 
 
 
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