Meta-Learning and the Full Model Selection Problem [PDF]
When working as a data analyst, one of my daily tasks is to select appropriate tools from a set of existing data analysis techniques in my toolbox, including data preprocessing, outlier detection, feature selection, learning algorithm and evaluation ...
Sun, Quan
core
Choice Function-Based Hyper-Heuristics for Causal Discovery under Linear Structural Equation Models
Causal discovery is central to human cognition, and learning directed acyclic graphs (DAGs) is its foundation. Recently, many nature-inspired meta-heuristic optimization algorithms have been proposed to serve as the basis for DAG learning.
Yinglong Dang +2 more
doaj +1 more source
Transmission expansion planning (TEP) is a vital process of ensuring power systems' reliable and efficient operation. The optimization of TEP is a complex challenge, necessitating the application of mathematical programming techniques and meta-heuristics.
Abdulaziz Almalaq +5 more
doaj +1 more source
Solving TSP Using Various Meta-Heuristic Algorithms [PDF]
Real world problems like Travelling Salesman Problem (TSP) belong to NP-hard optimization problems which are difficult to solve using classical mathematical methods.
Gupta, Divya
core
Multi-objective evolutionary algorithms for a preventive healthcare facility network design
Preventive healthcare aims at reducing the likelihood and severity of potentially life-threatening illnesses by protection and early detection. In this paper, a bi-objective mathematical model is proposed to design a network of preventive healthcare ...
Keyvan Roshan +2 more
doaj
Performance Evaluation of Emerging Meta‐Heuristic Algorithms on Vehicle Routing Problem
This research provides a comprehensive evaluation of seven emergent meta‐heuristic algorithms, including flying fox optimization (FFO), Giza pyramids construction (GPC), Harris Hawks optimizer (HHO), red deer algorithm (RDA), whale optimization algorithm
Hadi Barati +7 more
doaj +1 more source
Proposing a new model for location - routing problem of perishable raw material suppliers with using meta-heuristic algorithms. [PDF]
Yaghoubi A, Akrami F.
europepmc +1 more source
Application of Population-Based Meta-Heuristic Algorithms for Robust Initialization in Mechanistic Pharmacometric Modeling. [PDF]
Lee D, Lin CW.
europepmc +1 more source
Heart disease diagnosis and categorization from ECG signals using hybrid Fuzzy-CNN machine optimized by meta-heuristic algorithms. [PDF]
Davani M +3 more
europepmc +1 more source
Forecasting the daily evaporation by coupling the ensemble deep learning models with meta-heuristic algorithms and data pre-processing in dryland. [PDF]
Fu T, Wang D, Jin J.
europepmc +1 more source

