Results 21 to 30 of about 9,789 (258)
A Meta-Heuristic-Based Approach for Qos-Aware Service Composition
Recently, with the rapid increase in the number of web services, QoS-aware Web Service Composition(QWSC) has become a popular topic in both industry and academia. Meta-heuristic algorithm, as an effective way to solve classical optimization problems, has
Chenyang Li, Jun Li, Huiling Chen
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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
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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
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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
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This paper presents the application of an active energy management strategy to a hybrid system consisting of a proton exchange membrane fuel cell (PEMFC), battery, and supercapacitor.
Hasan Çınar, Ilyas Kandemir
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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
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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
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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
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Eurasian oystercatcher optimiser: New meta-heuristic algorithm [PDF]
Abstract Modern optimisation is increasingly relying on meta-heuristic methods. This study presents a new meta-heuristic optimisation algorithm called Eurasian oystercatcher optimiser (EOO). The EOO algorithm mimics food behaviour of Eurasian oystercatcher (EO) in searching for mussels.
Ahmad Salim +3 more
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Efficiency of Meta Heuristic Optimization Algorithms
A meta-heuristic is a lot of algorithmic ideas that can be utilized to characterize heuristic strategies material to a wide arrangement of various issues. – A Meta heuristic can be viewed as a general broadly useful heuristic technique toward promising locales of the search space containing top notch arrangements.
null Divvela Srinivasa Rao +1 more
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