Stephen Chen

Orcid: 0000-0001-8657-6200

Affiliations:
  • York University, School of Information Technology, Toronto, Canada


According to our database1, Stephen Chen authored at least 55 papers between 1998 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Online presence:

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Bibliography

2024
Simulation Optimization of Operating Room Schedules for Elective Surgeries.
Proceedings of the Advances and Trends in Artificial Intelligence. Theory and Applications, 2024

2023
Footprinting the Behaviour of Particle Swarm Optimization with Increasing Dimensionality.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2023

The Danger of Metaphors for Metaheuristic Design.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2023

2022
Particle swarm optimization with average-fitness based selection.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Methods to Detect and Address Stall in Particle Swarm Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022

Using Average-Fitness Based Selection to Combat the Curse of Dimensionality.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022

Measuring the Effects of Increasing Dimensionality on Fitness-Based Selection and Failed Exploration.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022

2021
A Random Walk Analysis of Search in Metaheuristics.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020
A Multi-Population Exploration-only Exploitation-only Hybrid on CEC-2020 Single Objective Bound Constrained Problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Particle Swarm optimization with pbest Perturbations.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019
Efficient elicitation of software configurations using crowd preferences and domain knowledge.
Autom. Softw. Eng., 2019

An Analysis of Minimum Population Search on Large Scale Global Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

An Analysis on the Effect of Selection on Exploration in Particle Swarm Optimization and Differential Evolution.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
Improved Exploration and Exploitation in Particle Swarm Optimization.
Proceedings of the Recent Trends and Future Technology in Applied Intelligence, 2018

2017
An LaF-CMAES hybrid for optimization in multi-modal search spaces.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016
Estimation multivariate normal algorithm with thresheld convergence.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
Measuring the curse of dimensionality and its effects on particle swarm optimization and differential evolution.
Appl. Intell., 2015

A minimum population search hybrid for large scale global optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

Evolution strategies with thresheld convergence.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

Leaders and followers - a new metaheuristic to avoid the bias of accumulated information.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014
Identifying and exploiting the scale of a search space in particle swarm optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Some measurements on the effects of the curse of dimensionality.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Micro-differential evolution with vectorized random mutation factor.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Extending Minimum Population Search towards large scale global optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Identifying and exploiting the scale of a search space in differential evolution.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2012
Multi-Objective Particle Swarm Optimisation for Molecular Transition State Search.
Proceedings of the EVOLVE, 2012

Multi-swarm hybrid for multi-modal optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

A simple strategy for maintaining diversity and reducing crowding in differential evolution.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Simulated annealing with thresheld convergence.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Particle swarm optimization with pbest crossover.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011
Selection strategies for initial positions and initial velocities in multi-optima particle swarms.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

An Analysis of Sub-swarms in Multi-swarm Systems.
Proceedings of the AI 2011: Advances in Artificial Intelligence, 2011

A Simple Strategy to Maintain Diversity and Reduce Crowding in Particle Swarm Optimization.
Proceedings of the AI 2011: Advances in Artificial Intelligence, 2011

2010
Particle Swarm Optimization with Resets - Improving the Balance between Exploration and Exploitation.
Proceedings of the Advances in Soft Computing, 2010

An analysis of the operation of differential evolution at high and low crossover rates.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Improving the performance of particle swarms through dimension reductions - A case study with locust swarms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
Application of optimization algorithms for the improvement of water quality monitoring systems.
Proceedings of the Information Technologies in Environmental Engineering, 2009

Locust Swarms - A new multi-optima search technique.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

Optimization in Fractal and Fractured Landscapes Using Locust Swarms.
Proceedings of the Artificial Life: Borrowing from Biology, 4th Australian Conference, 2009

An Analysis of Locust Swarms on Large Scale Global Optimization Problems.
Proceedings of the Artificial Life: Borrowing from Biology, 4th Australian Conference, 2009

2008
A Hybrid Multi-agent Model for Financial Markets.
Proceedings of the New Frontiers in Applied Artificial Intelligence, 2008

2007
Towards the Automated Design of Phased Array Ultrasonic Transducers - Using Particle Swarms to Find "Smart" Start Points.
Proceedings of the New Trends in Applied Artificial Intelligence, 2007

Analyzing the Role of "Smart" Start Points in Coarse Search-Greedy Search.
Proceedings of the Progress in Artificial Life, Third Australian Conference, 2007

2006
Gesture Friendly Interfaces for Classroom Teaching with Thinking Tools.
Proceedings of the Education for the 21st Century, 2006

A Little Respect (for the Role of Common Components in Heuristic Search).
Proceedings of the Toward Category-Level Object Recognition, 2006

Introducing Social Investors into Multi-Agent Models of Financial Markets.
Proceedings of the Advances in Applied Artificial Intelligence, 2006

An Evolution Strategy for Improving the Design of Phased Array Transducers.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

2005
The Coordination of Parallel Search with Common Components.
Proceedings of the Innovations in Applied Artificial Intelligence, 2005

Isolating the benefits of respect.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

1999
Improving Genetic Algorithms by Search Space Reductions (with Applications to Flow Shop Scheduling).
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 1999), 1999

Introducing a New Advantage of Crossover: Commonality-Based Selection.
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 1999), 1999

Non-Standard Crossover for a Standard Representation - Commonality-Based Feature Subset Selection.
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 1999), 1999

Fast and accurate feature selection using hybrid genetic strategies.
Proceedings of the 1999 Congress on Evolutionary Computation, 1999

The GENIE is out! (Who needs fitness to evolve?).
Proceedings of the 1999 Congress on Evolutionary Computation, 1999

1998
Putting the "Genetics" Back into Genetic Algorithms (Reconsidering the Role of Crossover in Hybrid Operators).
Proceedings of the Fifth Workshop on Foundations of Genetic Algorithms, 1998


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