Results 41 to 50 of about 715 (165)

A Hyperheuristic Approach for Unsupervised Land-Cover Classification [PDF]

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2016
Unsupervised land-use/cover classification is of great interest, since it becomes even more difficult to obtain high-quality labeled data. Still considered one of the most used clustering techniques, the well-known $k$ -means plays an important role in the pattern recognition community.
João Paulo Papa, Luciene P. Papa, Danillo Roberto Pereira, Rodrigo Jose Pisani   +3 more
openaire   +2 more sources

Investment Opportunities Forecasting: Extending the Grammar of a GP-based Tool [PDF]

, 2012
In this paper we present a new version of a GP financial forecasting tool, called EDDIE 8. The novelty of this version is that it allows the GP to search in the space of indicators, instead of using pre-specified ones.
Austin M., Binner J., Bouchachia A., Burke E., Cao L., Dempsey I., Edwards R., Hart E., Kampouridis M., Kim K., Koza J., Lam M., Marcek D., O'Neill M., Roh T., Sapankevych N., Tsang E., Tsang E., Özcan E.   +18 more
core   +3 more sources

A Hyperheuristic Approach to Scheduling a Sales Summit [PDF]

, 2001
The concept of a hyperheuristic is introduced as an approach that operates at a higher lever of abstraction than current metaheuristic approaches. The hyperheuristic manages the choice of which lower-level heuristic method should be applied at any given time, depending upon the characteristics of the region of the solution space currently under ...
Peter I. Cowling, Graham Kendall, Eric Soubeiga   +2 more
openaire   +1 more source

Solving high school timetabling problems worldwide using selection hyper-heuristics [PDF]

, 2015
High school timetabling is one of those recurring NP-hard real-world combinatorial optimisation problems that has to be dealt with by many educational institutions periodically, and so has been of interest to practitioners and researchers. Solving a high
Ahmed Kheiri, Asta, Bai, Bilgin, Broder, Burke, Burke, Burke, Burke, Chakhlevitch, Cowling, da Fonseca, de Werra, Drake, Ender Özcan, Even, Fisher, Kalender, Leena N. Ahmed, Lehre, Lourenço, Neri, Pillay, Post, Post, Raghavjee, Ross, Shambour, Zhang, Özcan, Özcan   +30 more
core   +4 more sources

A Hyperheuristic Approach to Multi-Echelon Hub and Routing Optimization: Model, Valid Inequalities, and Case Study

IEEE Open Journal of Intelligent Transportation Systems
Efficient logistics management is critical in the modern global supply chain, and this study introduces an advanced hyperheuristic approach to the Multi-Echelon Hub and Routing Optimization (MEHRO) problem.
Kassem Danach, Hassan Harb, Badih Baz, Abbass Nasser   +3 more
doaj   +1 more source

Ensemble move acceptance in selection hyper-heuristics [PDF]

, 2016
Selection hyper-heuristics are high level search methodologies which control a set of low level heuristics while solving a given problem. Move acceptance is a crucial component of selection hyper-heuristics, deciding whether to accept or reject a new ...
Kheiri, Ahmed, Mısır, Mustafa, Özcan, Ender   +2 more
core   +1 more source

A System Development Lifecycle Approach for the Development of Decision Support Systems for Operating Rooms Planning and Scheduling Using Mathematical Programming, Heuristics, and Discrete Event Simulation

Mathematics
This paper describes an approach for developing decision support systems (DSS) for strategic and tactical operating room (OR) planning and scheduling problems.
Justin Britt, Ahmed Azab, Mohammed Fazle Baki   +2 more
doaj   +1 more source

A case study of controlling crossover in a selection hyper-heuristic framework using the multidimensional knapsack problem [PDF]

, 2015
Hyper-heuristics are high-level methodologies for solving complex problems that operate on a search space of heuristics. In a selection hyper-heuristic framework, a heuristic is chosen from an existing set of low-level heuristics and applied to the ...
Battiti R., Bilgin B., Burke E. K., Burke E. K., Burke E. K., Burke E. K., Cowling P., Edmund K. Burke, Ender Özcan, Fisher M., Forrest S., Garey M. R., Goldberg D. E, Hyde M., John H. Drake, Jones T., Koza J. R, Maniezzo V., Nareyek A., Onsem W. V., Qian F., Rendl A., Sutton R., Syswerda G, Vasquez M., Özcan E.   +25 more
core   +6 more sources

Fuzzy hyperheuristic optimization of a facilitated hub-and-spoke drone-enabled logistics network: a case study of Australia Post

Frontiers in Applied Mathematics and Statistics
IntroductionThe rapid growth of e-commerce has increased pressure on postal logistics networks, especially in remote regions.MethodsThis study proposes a fuzzy hyperheuristic genetic algorithm for optimizing a facilitated hub-and-spoke network with drone
Kassem Danach, Samir Haddad, Wissam Khalil, Ziad El Balaa, Jinane Sayah   +4 more
doaj   +1 more source

Evolvability Metric Estimation by a Parallel Perceptron for On-Line Selection Hyper-Heuristics

IEEE Access, 2017
Online hyper-heuristic selection is a novel and powerful approach to solving complex problems. This approach dynamically selects, based on the state of a given solution, the most promising operator (from a pool of operators) to continue the search ...
Jorge A. Soria-Alcaraz, Andres Espinal, Marco A. Sotelo-Figueroa   +2 more
doaj   +1 more source