List of works - Ponnuthurai Suganthan

A Differential Evolution Framework with Ensemble of Parameters and Strategies and Pool of Local Search Algorithms

scientific article published in 2014

A Novel Empirical Mode Decomposition With Support Vector Regression for Wind Speed Forecasting

scientific article published on 11 September 2014

A machine learning approach for the identification of odorant binding proteins from sequence-derived properties

scientific article

A novel dependency-oriented mixed-attribute data classification method

scientific article published in 2022

AFP-Pred: A random forest approach for predicting antifreeze proteins from sequence-derived properties

scientific article published on 4 November 2010

An adaptive differential evolution algorithm with novel mutation and crossover strategies for global numerical optimization

scientific article published on 14 October 2011

Computational intelligence in sports: Challenges and opportunities within a new research domain

scientific article published in July 2015

Differential Evolution: A Survey of the State-of-the-Art

scientific article (publication date: February 2011)

Differential evolution with orthogonal array‐based initialization and a novel selection strategy

scientific article published in 2022

Ensemble and Arithmetic Recombination-Based Speciation Differential Evolution for Multimodal Optimization

scientific article published on 12 March 2015

Flexible Job-Shop Rescheduling for New Job Insertion by Using Discrete Jaya Algorithm

scientific article published on 24 April 2018

Gene selection algorithms for microarray data based on least squares support vector machine.

scientific article

Hierarchical overlapped SOM's for pattern classification

scientific article published in January 1999

Identification of functionally diverse lipocalin proteins from sequence information using support vector machine.

scientific article published on 26 February 2010

Meta-Heuristics for Bi-Objective Urban Traffic Light Scheduling Problems

scientific article published in 2019

Multiclass cancer classification by support vector machines with class-wise optimized genes and probability estimates

scientific article published on 03 May 2009

Neil3 induced neurogenesis protects against prion disease during the clinical phase

scientific article

Oblique Decision Tree Ensemble via Multisurface Proximal Support Vector Machine.

scientific article

Predicting protein structural class by SVM with class-wise optimized features and decision probabilities.

scientific article

Random vector functional link neural network based ensemble deep learning for short-term load forecasting

scientific article published in 2022

Representation learning using deep random vector functional link networks for clustering

scientific article published in 2022

Robust growing neural gas algorithm with application in cluster analysis

scientific article published in October 2004

Scheduling Eight-Phase Urban Traffic Light Problems via Ensemble Meta-Heuristics and Q-Learning Based Local Search

scientific article published in 2023

Scheduling Multiobjective Dynamic Surgery Problems via $Q$-Learning-Based Meta-Heuristics

scientific article published in 2024

Shape indexing using self-organizing maps

scientific article published on 01 January 2002

Solving Traffic Signal Scheduling Problems in Heterogeneous Traffic Network by Using Meta-Heuristics

scientific article published in 2019

Structural pattern recognition using genetic algorithms with specialized operators

scientific article published in January 2003

Takagi–Sugeno fuzzy based power system fault section diagnosis models via genetic learning adaptive GSK algorithm

scientific article published in 2022

Visual Tracking With Convolutional Random Vector Functional Link Network

scientific article published on 15 August 2016

Weighting and pruning based ensemble deep random vector functional link network for tabular data classification

scientific article published in 2022

List of works by Ponnuthurai Suganthan

A Differential Evolution Framework with Ensemble of Parameters and Strategies and Pool of Local Search Algorithms

A Novel Empirical Mode Decomposition With Support Vector Regression for Wind Speed Forecasting

A machine learning approach for the identification of odorant binding proteins from sequence-derived properties

A novel dependency-oriented mixed-attribute data classification method

AFP-Pred: A random forest approach for predicting antifreeze proteins from sequence-derived properties

An adaptive differential evolution algorithm with novel mutation and crossover strategies for global numerical optimization

Computational intelligence in sports: Challenges and opportunities within a new research domain

Differential Evolution: A Survey of the State-of-the-Art

Differential evolution with orthogonal array‐based initialization and a novel selection strategy

Ensemble and Arithmetic Recombination-Based Speciation Differential Evolution for Multimodal Optimization

Flexible Job-Shop Rescheduling for New Job Insertion by Using Discrete Jaya Algorithm

Gene selection algorithms for microarray data based on least squares support vector machine.

Hierarchical overlapped SOM's for pattern classification

Identification of functionally diverse lipocalin proteins from sequence information using support vector machine.

Meta-Heuristics for Bi-Objective Urban Traffic Light Scheduling Problems

Multiclass cancer classification by support vector machines with class-wise optimized genes and probability estimates

Neil3 induced neurogenesis protects against prion disease during the clinical phase

Oblique Decision Tree Ensemble via Multisurface Proximal Support Vector Machine.

Predicting protein structural class by SVM with class-wise optimized features and decision probabilities.

Random vector functional link neural network based ensemble deep learning for short-term load forecasting

Representation learning using deep random vector functional link networks for clustering

Robust growing neural gas algorithm with application in cluster analysis

Scheduling Eight-Phase Urban Traffic Light Problems via Ensemble Meta-Heuristics and Q-Learning Based Local Search

Scheduling Multiobjective Dynamic Surgery Problems via $Q$-Learning-Based Meta-Heuristics

Shape indexing using self-organizing maps

Solving Traffic Signal Scheduling Problems in Heterogeneous Traffic Network by Using Meta-Heuristics

Structural pattern recognition using genetic algorithms with specialized operators

Takagi–Sugeno fuzzy based power system fault section diagnosis models via genetic learning adaptive GSK algorithm

Visual Tracking With Convolutional Random Vector Functional Link Network

Weighting and pruning based ensemble deep random vector functional link network for tabular data classification