Results 21 to 30 of about 1,116,663 (238)
Adaptive secure malware efficient machine learning algorithm for healthcare data
CAAI Transactions on Intelligence Technology, EarlyView., 2023 Abstract Malware software now encrypts the data of Internet of Things (IoT) enabled fog nodes, preventing the victim from accessing it unless they pay a ransom to the attacker. The ransom injunction is constantly accompanied by a deadline. These days, ransomware attacks are too common on IoT healthcare devices.
Mazin Abed Mohammed +8 more
wiley +1 more source
Evolution of group-theoretic cryptology attacks using hyper-heuristics
Journal of Mathematical Cryptology, 2021 In previous work, we developed a single evolutionary algorithm (EA) to solve random instances of the Anshel–Anshel–Goldfeld (AAG) key exchange protocol over polycyclic groups. The EA consisted of six simple heuristics which manipulated strings.
Craven Matthew J., Woodward John R.
doaj +1 more source
IET Networks, EarlyView., 2022 Abstract Everything can be connected in the Internet of Things (IoTs) technology that enables efficient communication between connected objects. IoTs industry‐based meta‐heuristic and mining algorithms, which are considered an important field of Artificial Intelligence will be used to construct a healthcare application in this study for lowering costs,
Muhaned Al‐Hashimi +4 more
wiley +1 more source
Towards the Design of Heuristics by Means of Self-Assembly [PDF]
Electronic Proceedings in Theoretical Computer Science, 2010 The current investigations on hyper-heuristics design have sprung up in two different flavours: heuristics that choose heuristics and heuristics that generate heuristics.
Natalio Krasnogor +2 more
doaj +1 more source
University Course Timetabling Using Graph-based Hyper Heuristics [PDF]
مدیریت صنعتی, 2013 University course timetabling is a complex optimizationproblem. There are many components like departments, faculties, rooms,and students making the problem huge and difficult to solve.
Khodakaram Salimifard +2 more
doaj +1 more source
A Modified Multi-Level Hyper Heuristic for Tackling Combinatorial Optimization Problems [PDF]
IJCI International Journal of Computers and InformationHyper-heuristics are search techniques that operate on heuristic spaces by selecting low-level heuristics appropriately. Hyper-heuristic aims to generate a generalized and automated approaches to solve various problem domains.
Asmaa Awad +3 more
doaj +1 more source
Applied Computer Systems, 2022 A problem of minimizing the total weighted tardiness in the preemptive single machine scheduling for discrete manufacturing is considered. A hyper-heuristic is presented, which is composed of 24 various heuristics, to find an approximately optimal ...
Romanuke Vadim
doaj +1 more source
Sequence-Based Selection Hyper-Heuristic Model via MAP-Elites
IEEE Access, 2021 Although the number of solutions in combinatorial optimization problems (COPs) is finite, some problems grow exponentially and render exact approaches unfeasible. So, approximate methods, such as heuristics, are customary.
Melissa Sanchez +3 more
doaj +1 more source
An Investigation of Hybrid Framework for Dynamic Multi Objective Problems
Gazi Üniversitesi Fen Bilimleri Dergisi, 2018 Multi-objective evolutionary algorithms and selection hyper-heuristics are adaptive methods that can handle different types of dynamism which may occur in the environment.
Berna KİRAZ
doaj +1 more source
A Novel Cooperative Multi-Stage Hyper-Heuristic for Combination Optimization Problems
Complex System Modeling and Simulation, 2021 A hyper-heuristic algorithm is a general solution framework that adaptively selects the optimizer to address complex problems. A classical hyper-heuristic framework consists of two levels, including the high-level heuristic and a set of low-level ...
Fuqing Zhao +4 more
doaj +1 more source