Results 1 to 10 of about 242,339 (312)
Genetic drift in genetic algorithm selection schemes [PDF]
IEEE Transactions on Evolutionary Computation, 1999 A method for calculating genetic drift in terms of changing population fitness variance is presented. The method allows for an easy comparison of different selection schemes and exact analytical results are derived for traditional generational selection,
Prügel-Bennett, A., Rogers, A.
exaly +3 more sources
Mathematics, 2021 Since the discovery that machine learning can be used to effectively detect Android malware, many studies on machine learning-based malware detection techniques have been conducted.
Jaehyeong Lee +3 more
doaj +1 more source
Hierarchical Mission Planning for Cleaning Photovoltaic Panels Based on Improved Genetic Algorithm
Shanghai Jiaotong Daxue xuebao, 2021 Aimed at the mission planning for cleaning photovoltaic panels in large-area photovoltaic plants with mobile cleaning robots, a district planning strategy is hereby proposed.
LI Cuiming, WANG Ning, ZHANG Chen
doaj +1 more source
Complexity, 2021 This article proposes an Analytic Hierarchy Process Dempster-Shafer (AHP-DS) and similarity-based network selection algorithm for the scenario of dynamic changes in user requirements and network environment; combines machine learning with network ...
Weiwei Xiao
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
A lexicographic multi-objective genetic algorithm for multi-label correlation-based feature selection [PDF]
, 2015 This paper proposes a new Lexicographic multi-objective Genetic Algorithm for Multi-Label Correlation-based Feature Selection (LexGA-ML-CFS), which is an extension of the previous single-objective Genetic Algorithm for Multi-label Correlation-based ...
Suwimol Jungjit +3 more
core +1 more source
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
doaj +1 more source