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3dradviz

Matlab implementation of the 3D RadViz Pareto front visualisation approach

corpus

Java implementation of CorpusGP

dbmopp_generator

A Distance-Based Many-Objective Visualisable Test Problem Generator

emo_2013_viz

Codebase for EMO 2013 visualisation paper "Visualising high-dimensional Pareto relationships in two-dimensional scatterplots, Evolutionary Multi-criterion Optimization" by Fieldsend & Everson

emo_2015_elite

Repository for code alongside EMO 2015 paper "Elite Accumulative Sampling Strategies for Noisy Multi-objective Optimisation"

fieldsend.github.io

Fieldsend group website

gecco_2014_changing_objectives

Example code for the GECCO 2014 paper "Efficiently Identifying Pareto Solutions when Objective Values Change"

gecco_2015_mogp

Codebase for GECCO 2015 paper Strength Through Diversity: Disaggregation and Multi-Objectivisation Approaches for Genetic Programming

gecco_2016_viz

Codebase for 2016 GECCO paper on Dominance Resistance in Visualisable Distance-Based Many-Objective Problems

gecco_2017_staff_teaching_allocation

Repository for public code associated with GECCO 2017 paper on university staff teaching allocation

hypervolume

Codebase for GECCO 2019 paper: Efficient Real-Time Hypervolume Estimation with Monotonically Reducing Error

ieee_cec_2005_bayes_uncertain

Codebase for IEEE Congress on Evolutionary Computation 2005 paper "Multi-objective optimisation in the presence of uncertainty" by Fieldsend & Everson

ieee_cec_2014_nmmso

Codebase for IEEE Congress on Evolutionary Computation 2014 paper "Running Up Those Hills: Multi-Modal Search with the Niching Migraory Multi-Swarm Optimiser", containing the NMMSO algorithm

ieee_cec_2015_niching_competition

Data and scripts relating to entries to the EEE CEC 2015 competition on niching methods for multimodal optimisation

ieee_tec_2014_rtea

Code for the rolling-tide evolutionary algorithm described in the IEEE Transactions on Evolutionary Computation paper

local_optima_networks

Codebase for GECCO 2018 LAHS Workshop paper on Computationally Efficient Local Optima Network Construction

mo_lons

Codebase for the GECCO 2019 paper: Visualising the Landscape of Multi-Objective Problems using Local Optima Networks

moa

MOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation.

multi_class_roc

Codebase for 2006 Multi-class ROC paper

multiobjective_comparison_operators

A suite of small matlab functions covering some common multi-objective comparison operators

multiobjective_data_structures

A Java package containing various multi-objective data structures

niching_competition_file_converter

Small program to convert between the two file formats in the IEEE CEC/GECCO niching compeition

platemo

Evolutionary multi-objective optimization platform

soft_computing_2014_lsea_ea

Codebase for Soft Computing UKCI special issue paper "Using an adaptive collection of local evolutionary algorithms for multi-modal problems" (provisionally accepted) containing LSEA_EA algorithm

threadpool_example

ukci_2002_mopso

Codebase for UKCI 2002 paper "A multi-objective algorithm based upon particle swarm optimisation, an efficient data structure and turbulence" by Fieldsend and Singh