Results 11 to 20 of about 1,311,332 (340)
Gab-SSDS: An AI-Based Similar Days Selection Method for Load Forecast
Frontiers in Energy Research, 2022 The important, while mostly underestimated, step in the process of short-term load forecasting–STLF is the selection of similar days. Similar days are identified based on numerous factors, such as weather, time, electricity prices, geographical ...
Zoran Janković +4 more
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Intelligent Feature Selection Methods: A Survey [PDF]
Engineering and Technology Journal, 2021 Consider feature selection is the main in intelligent algorithms and machine learning to select the subset of data to help acquire the optimal solution.
Noor Jameel, Hasanen S. Abdullah
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CONSTRAINED PORTFOLIO SELECTION OPTIMIZATION USING CALIBRATED GENETIC ALGORITHM [PDF]
مجله مدل سازی در مهندسی, 2014 Portfolios are a proper collection of investments choosing by an organization or a person. Hence portfolio optimization is a very prominent problem by optimizing which we can attain more profit with the less risk.
ali naimi sadigh +1 more
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Foundations of Computing and Decision Sciences, 2022 The growing need for profit maximization and cost minimization has made the optimization field very attractive to both researchers and practitioners.
Laabadi Soukaina +3 more
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A Comparative Analysis of Hybridized Genetic Algorithm in Predictive Models of Breast Cancer Tumors
IEEE Access, 2023 Advancement in computer-aided tools towards accurate breast cancer early prediction models has proven to be advantageous, which in turn helps to reduce the mortality rate associated with this cancer.
Joyce A. Ayoola, Tokunbo Ogunfunmi
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Gene expression programming approach to event selection in high energy physics [PDF]
, 2006 Gene Expression Programming is a new evolutionary algorithm that overcomes many limitations of the more established Genetic Algorithms and Genetic Programming. Its first application to high energy physics data analysis is presented.
Teodorescu, L
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Bioinspiration & Biomimetics, 2018 Genetic algorithms are integral to a range of applications. They utilise Darwin’s theory of evolution to find optimal solutions in large complex spaces such as engineering, to visualise the design space, artificial intelligence, for pattern ...
Adam J. Sobey, P. Grudniewski
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Genetic Algorithm Based on Natural Selection Theory for Optimization Problems
Symmetry, 2020 The metaheuristic genetic algorithm (GA) is based on the natural selection process that falls under the umbrella category of evolutionary algorithms (EA).
Musatafa Abbas Abbood Albadr +3 more
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Hybrid Multi-population Genetic Algorithm for Multi Criteria Project Selection [PDF]
Journal of Mahani Mathematical Research, 2022 Resources scarcity, available capabilities and cost-benefit point of view, make it essential to select the best project(s) from available project portfolio. Project selection process has a significant role in the success.
Mohammad Mirabi, Hossein Ghaneai
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Multi-objective genetic optimisation for self-organising fuzzy logic control [PDF]
, 1998 This is the post-print version of the article. The official published version can be accessed from the link below.A multi-objective genetic algorithm is developed for the purpose of optimizing the rule-base of a Self-Organising Fuzzy Logic Control ...
Abbod, MF, Linkens, DA, Mahfouf, M
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