Results 31 to 40 of about 156,806 (296)
Nature-inspired optimization algorithms in knapsack problem: A review [PDF]
Meta-heuristic algorithms have become an arising field of research in recent years. Some of these algorithms have proved to be efficient in solving combinatorial optimization problems, particularly knapsack problem.
Ghalya Tawfeeq Basheer, Zakariya Algamal
doaj +1 more source
Adaptive secure malware efficient machine learning algorithm for healthcare data
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
This paper describes a unique meta-heuristic technique for hybridizing bio-inspired heuristic algorithms. The technique is based on altering the state of agents using a logistic probability function that is dependent on an agent’s fitness rank.
Robertas Damaševičius +1 more
doaj +1 more source
Portfolio rebalancing under uncertainty using meta-heuristic algorithm [PDF]
In this paper, we solve portfolio rebalancing problem when security returns are represented by uncertain variables considering transaction costs. The performance of the proposed model is studied using constant-proportion portfolio insurance (CPPI) as rebalancing strategy.
Zandieh, Mostafa, Mohaddesi, Seyed Omid
openaire +2 more sources
A new index‐based hyper‐heuristic algorithm for global optimisation problems
In this research study, a new combination search algorithm, based on indexing its constituent processes, is proposed to solve global optimisation problems.
Mohammad Reza Hasanzadeh +2 more
doaj +1 more source
Solving a big-scaled hospital facility layout problem with meta-heuristics algorithms
The main objective of the hospital facility layout problem is to place the polyclinics, laboratories and radiology units within the predefined boundaries in such way that minimize the movement cost of patients and healthcare staff.
Vahit Tongur +2 more
doaj +1 more source
Novel Heuristic Algorithm & its Application for Reliability Optimization
Heuristic algorithms are practical, easy to implement, and work fast to provide short-term, feasible solutions for any kind of problem within economical budgets as compared to other meta-heuristic algorithms.
Tripti Dahiya +4 more
doaj +1 more source
Studying the Impact of Initialization for Population-Based Algorithms with Low-Discrepancy Sequences
To solve different kinds of optimization challenges, meta-heuristic algorithms have been extensively used. Population initialization plays a prominent role in meta-heuristic algorithms for the problem of optimization.
Adnan Ashraf +6 more
doaj +1 more source
The energy consumption issue of large-scale data centers is attracting more and more attention. Virtual machine consolidation can significantly reduce energy consumption by migrating virtual machines from one physical machine to another.
Fagui Liu +3 more
doaj +1 more source
: Meta-heuristic algorithms search the problem solution space to obtain a satisfactory solution within a reasonable timeframe. By combining domain knowledge of the specific optimization problem, the search efficiency and quality of meta-heuristic ...
Lin Gui +3 more
semanticscholar +1 more source

