Results 11 to 20 of about 715 (165)

Hyperheuristics for explicit resource partitioning in simultaneous multithreadedprocessors [PDF]

TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES, 2020
In simultaneous multithreaded (SMT) processors, various data path resources are concurrently shared by many threads. A few heuristic approaches that explicitly distribute those resources among threads with the goal of improved overall performance have already been proposed.
Isa Ahmet Güney, Kemal Poyraz, Gürhan Küçük, Ender Özcan   +3 more
openaire   +5 more sources

On the role of metaheuristic optimization in bioinformatics

International Transactions in Operational Research, Volume 30, Issue 6, Page 2909-2944, November 2023., 2023
Abstract Metaheuristic algorithms are employed to solve complex and large‐scale optimization problems in many different fields, from transportation and smart cities to finance. This paper discusses how metaheuristic algorithms are being applied to solve different optimization problems in the area of bioinformatics. While the text provides references to
Laura Calvet, Sergio Benito, Angel A. Juan, Ferran Prados   +3 more
wiley   +1 more source

Improved selection strategy for multi‐objective evolutionary algorithms with application to water distribution optimization problems

Computer-Aided Civil and Infrastructure Engineering, Volume 38, Issue 10, Page 1290-1306, 1 July 2023., 2023
Abstract Multi‐objective evolutionary algorithms (MOEAs) have been applied to water distribution system (WDS) optimization problems for over two decades. The selection strategy is a key component of an MOEA that determines the composition of a population, and thereby the evolutionary search process, which imitates natural selection by granting fitter ...
Peng Wang, Aaron C. Zecchin, Holger R. Maier   +2 more
wiley   +1 more source

Solving the 0/1 Knapsack Problem Using Metaheuristic and Neural Networks for the Virtual Machine Placement Process in Cloud Computing Environment

Mathematical Problems in Engineering, Volume 2023, Issue 1, 2023., 2023
Virtual machine placement (VMP) is carried out during virtual machine migration to choose the best physical computer to host the virtual machines. It is a crucial task in cloud computing. It directly affects data center performance, resource utilization, and power consumption, and it can help cloud providers save money on data center maintenance.
Mohamed Abid, Said El Kafhali, Abdellah Amzil, Mohamed Hanini, Hao Gao   +4 more
wiley   +1 more source

Personalized Route Recommendation with Hybrid Tabu Search Algorithm Based on Crowdsensing

International Journal of Intelligent Systems, Volume 2023, Issue 1, 2023., 2023
In the postmodern era of tourism, tourists’ behavior has undergone a substantial change and the demand of customized experience dominates the tourism market. The traditional single‐objective travel route recommendation method fails to meet the multiobjective needs of users. To handle this problem, a multiobjective hybrid tabu search algorithm for urban
Baoting Han, Xiaoyao Zheng, Manping Guan, Liping Sun, Yue Zhang, Lianyong Qi   +5 more
wiley   +1 more source

A 3D Offline Packing Algorithm considering Cargo Orientation and Stability

International Journal of Distributed Sensor Networks, Volume 2023, Issue 1, 2023., 2023
The box packing problem can be generalized as placing a batch of cargos with a specified number of different physical characteristics into a specified box. Suppose that a batch of cuboid cargos of different sizes are to be loaded into a batch of boxes of the same type, the cargos have constraints such as orientation and stability. Taking the mean value
Xianpei Wang, Li Gong, Haocheng Zhao, Bowen Li, Meng Tian, Kavita Pandey   +5 more
wiley   +1 more source

Metaheuristics in the Balance: A Survey on Memory‐Saving Approaches for Platforms with Seriously Limited Resources

International Journal of Intelligent Systems, Volume 2023, Issue 1, 2023., 2023
In the last three decades, the field of computational intelligence has seen a profusion of population‐based metaheuristics applied to a variety of problems, where they achieved state‐of‐the‐art results. This remarkable growth has been fuelled and, to some extent, exacerbated by various sources of inspiration and working philosophies, which have been ...
Souheila Khalfi, Fabio Caraffini, Giovanni Iacca, Said El Kafhali   +3 more
wiley   +1 more source

Dynamic Task Assignment Framework for Mobile Crowdsensing with Deep Reinforcement Learning

Wireless Communications and Mobile Computing, Volume 2023, Issue 1, 2023., 2023
Task assignment is a key issue in mobile crowdsensing (MCS). Previous task assignment methods were mainly static offline assignment. However, the MCS platform needs to process dynamically changing workers and tasks online in the actual assignment process.
Yanming Fu, Kangheng Qi, Yuanquan Shi, Yuming Shen, Liqiang Xu, Xian Zhang, Xianfu Chen   +6 more
wiley   +1 more source

Research trends in combinatorial optimization

International Transactions in Operational Research, Volume 29, Issue 2, Page 667-705, March 2022., 2022
Abstract Real‐world problems are becoming highly complex and therefore have to be solved with combinatorial optimization (CO) techniques. Motivated by the strong increase in publications on CO, 8393 articles from this research field are subjected to a bibliometric analysis.
Jann Michael Weinand, Kenneth Sörensen, Pablo San Segundo, Max Kleinebrahm, Russell McKenna   +4 more
wiley   +1 more source

Towards the Design of Heuristics by Means of Self-Assembly [PDF]

, 2010
The current investigations on hyper-heuristics design have sprung up in two different flavours: heuristics that choose heuristics and heuristics that generate heuristics.
Dario Landa-Silva, Elham Kashefi, German Terrazas, Natalio Krasnogor, Prakash Panangaden, S. Barry Cooper   +5 more
core   +5 more sources