Centripetal accelerated particle swarm optimization and its applications in machine learning /

Centripetal accelerated particle swarm optimization and its applications in machine learning /

Thesis (Doktor Falsafah, Bidang Penyelidikan: Sains Komputer)) - Universiti Teknologi Malaysia, 2013

Bibliografiske detaljer
Main Authors:	Zahra Beheshti, 1971- , author, Siti Mariyam Shamsuddin, supervisor, Fakulti Kejuruteraan. Sekolah Komputeran
Format:
Sprog:	eng
Udgivet:	Johor Bahru, Johor : Universiti Teknologi Malaysia, 2013
Fag:	Heuristic algorithms Machine learning

Lignende værker

Centripetal accelerated particle swarm optimization and its applications in machine learning [electronic resource] /
af: Zahra Beheshti, 1971-
Udgivet: (2013)

GPU-based centripetal accelerated particle swarm optimization for big data optimization problems /
af: Amantay Bilash, 1984-, et al.
Udgivet: (2015)

GPU-based centripetal accelerated particle swarm optimization for big data optimization problems [electronic resource] /
af: Amantay Bilash, 1984-, et al.
Udgivet: (2015)

A hybrid particle swarm optimization and harmony search to estimate kinetic parameters in Arabidopsis Thaliana /
af: Mohamad Saufie Rosle, 1991-, et al.
Udgivet: (2015)

A hybrid particle swarm optimization and harmony search to estimate kinetic parameters in Arabidopsis Thaliana [electronic resource] /
af: Mohamad Saufie Rosle, 1991-, et al.
Udgivet: (2015)

An efficient robust hyperheuristic clustering algorithm /
af: Mohammad Babrdel Bonab, 1982-, author, et al.
Udgivet: (2016)

Hybrid migrating bird optimization based algorithms for university course timetabling problem /
af: Lam, Way Shen, 1989-, author, et al.
Udgivet: (2016)

Solving single and bi-objective surgery scheduling problems using local search heuristic
af: Ab Rashid, Nur Shafiqah
Udgivet: (2021)

Kajian strategi permainan Sudoku menggunakan teknik carian heuristik /
af: 328642 Noor Azlinda Mat Seman, et al.
Udgivet: (2008)

An enhanced artificial bee colony algorithm for optimization problems /
af: Mohd. Syahid Mohd. Anuar, author, et al.
Udgivet: (2016)

Heuristic search : theory and applications /
af: 330281 Edelkamp, Stefan, et al.
Udgivet: (c 20)

Kajian strategi permainan Sudoku menggunakan teknik carian heuristik [electronic resource] /
af: 328642 Noor Azlinda Mat Seman
Udgivet: (2008)

Offset and radius dynamic population particle swarm optimizer /
af: Soo, Alvin Chun Kit, 1994-, author 633196, et al.
Udgivet: (2020)

Offset and radius dynamic population particle swarm optimizer /
af: Soo, Alvin Chun Kit, 1994-, author 633196, et al.
Udgivet: (2020)

Major advances in particle swarm optimization: theory, analysis, and application
af: Houssein, Essam H., et al.
Udgivet: (2022)

Theory of randomized search heuristics : foundations and recent developments /
af: Auger, Anne, et al.
Udgivet: (c201)

Particle swarm optimization for curve fitting /
af: Ong, Mei Thien, author, et al.
Udgivet: (2013)

ENGINEERING OPTIMISATION : AN INTRODUCTION WITH METAHEURISTIC APPLICATIONS /
af: Yel, Gulnur, contributor, et al.
Udgivet: (2018)

Hybrid migrating bird optimization based algorithms for university course timetabling problem /
af: Lam, Way Shen, 1989-, author
Udgivet: (2016)

An efficient robust hyperheuristic clustering algorithm /
af: Mohammad Babrdel Bonab, 1982-, author
Udgivet: (2016)

Self-learning salp swarm algorithm for global optimization and its application in multi-layer perceptron model training
af: Zhenlun Yang, et al.
Udgivet: (2024-11-01)

Hierarchical Learning-Enhanced Chaotic Crayfish Optimization Algorithm: Improving Extreme Learning Machine Diagnostics in Breast Cancer
af: Jilong Zhang, et al.
Udgivet: (2024-08-01)

MOBCA: Multi-Objective Besiege and Conquer Algorithm
af: Jianhua Jiang, et al.
Udgivet: (2024-05-01)

A machine learning-based selection approach for solving the single machine scheduling problem with Early/Tardy jobs
af: Ahmed Adnane Abdessemed, et al.
Udgivet: (2024-06-01)

Non-linear multi-objective optimization model of production planning based on fuzzy logic and machine learning
af: Zahra Saeidi Mobarakeh, et al.
Udgivet: (2024-09-01)

Examining Rebalancing Considers of the Mixed-Model Assembly Line Type-II for the Straight and U-shaped Layout Using the Taguchi Method
af: Samah. A. Aufy, et al.
Udgivet: (2021-02-01)

A new hybrid particle swarm optimization-differential evolution algorithm /
af: Fariaa Abdalmajed Hameed, 1981-, et al.
Udgivet: (2014)

Improving interpretability and accuracy in adaptive neuro-fuzzy system using particle swarm optimization /
af: Dian Palupi Rini, 1978-, author, et al.
Udgivet: (2017)

Surface fitting using particle swarm optimization /
af: Chong, Li San, 1989-, author, et al.
Udgivet: (2013)

Energy Efficiency Optimisation of Joint Computational Task Offloading and Resource Allocation Using Particle Swarm Optimisation Approach in Vehicular Edge Networks
af: Amjad Alam, et al.
Udgivet: (2024-05-01)

On the rate of convergence to optimality of the LPT rule
af: Frenk, Johannes Bartholomeus Gerardus., et al.
Udgivet: (2009)

Metaheuristics for Robotics /
af: Oulhadj, Hamouche, author 636838, et al.
Udgivet: (2020)

Heuristics and metaheuristics for heavily constrained hybrid flowshop problems /
af: 517569 Urlings, Thijs, et al.
Udgivet: (2011)

Flow shop scheduling: theoretical results, algorithms, and applications/
af: Emmons, Hamilton, et al.
Udgivet: (c201)

Tolerable Constructive Graph-Based Hyper-Heuristic Algorithm For Examination Timetabling
af: Mohammad Pour, Shahrzad
Udgivet: (2009)

Locust- inspired meta-heuristic algorithm for optimising cloud computing performance
af: Fadhil, Mohammed Alaa
Udgivet: (2023)

Optimized feature selection using particle swarm optimization with fuzzy classifier for imbalanced class datasets /
af: Aida Ali, 1980- , author, et al.
Udgivet: (2014)

A new index‐based hyper‐heuristic algorithm for global optimisation problems
af: Mohammad Reza Hasanzadeh, et al.
Udgivet: (2022-10-01)

Novel Heuristic Algorithm for Flexible Job Shop Scheduling based on the Longest Processing Time Rules to Minimize Makespan
af: Eka Pakpahan, et al.
Udgivet: (2023-03-01)

BASA: An improved hybrid bees algorithm for the single machine scheduling with early/tardy jobs
af: Ahmed Adnane Abdessemed, et al.
Udgivet: (2023-07-01)