Results 31 to 40 of about 177,718 (299)
Feature Selection (FS) is an important pre-processing step in the fields of machine learning and data mining, which has a major impact on the performance of the corresponding learning models.
Shameem Ahmed +4 more
doaj +1 more source
Heuristic usability evaluation on games: a modular approach [PDF]
Heuristic evaluation is the preferred method to assess usability in games when experts conduct this evaluation. Many heuristics guidelines have been proposed attending to specificities of games but they only focus on specific subsets of games or ...
Cascado Caballero, Daniel +3 more
core +1 more source
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
Accurate Solar Cell Modeling via Genetic Neural Network-Based Meta-Heuristic Algorithms
Accurate solar cell modeling is essential for reliable performance evaluation and prediction, real-time control, and maximum power harvest of photovoltaic (PV) systems.
Long Wang +7 more
doaj +1 more source
Jamming Model for the Extremal Optimization Heuristic [PDF]
Extremal Optimization, a recently introduced meta-heuristic for hard optimization problems, is analyzed on a simple model of jamming. The model is motivated first by the problem of finding lowest energy configurations for a disordered spin system on a ...
+20 more
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The growth of demand, the need for economic efficiency and optimal utilisation of electric power networks and the high cost of construction of new power networks result in inevitable challenges, such as overloading and excessive power transfer along ...
Ahmad AL Ahmad, Reza Sirjani
doaj +1 more source
Meta heuristics for the orienteering problem
This paper presents two meta-heuristic techniques, ant colony optimization and tabu search, for the orienteering problem, a general version of the well-known traveling salesman problem with many relevant applications in industry. Both algorithms are compared to other heuristics in the literature.
Yun-Chia Liang +2 more
openaire +2 more sources
In this manuscript, we aim to address Ordinary Differential Equations (ODEs) by α-Parameterized Differential Transform Method (α-PDTM). Additionally, we seek to enhance the effectiveness of α-PDTM by incorporating the Dandelion Optimizer (DO).
Mustafa Raed Najeeb, Omar Saber Qasim
doaj +1 more source
Portfolio optimization with mean-variance approach using hunting search meta-heuristic algorithm [PDF]
This paper presents a new meta-heuristic solution to find the efficient frontier using the mean-variance approach. Portfolio optimization problem is a quadratic programming model and, changes to NP-hard if the number of assets and constraints has ...
Morteza Elahi +2 more
doaj +1 more source
A Meta-Heuristic Load Balancer for Cloud Computing Systems [PDF]
This paper introduces a strategy to allocate services on a cloud system without overloading the nodes and maintaining the system stability with minimum cost.
Getov, Vladimir +3 more
core +2 more sources

