Author(s)

Paper(s)

Statement on why result is human competitive

1

Gustavo Olague

Leonardo Trujillo

Using Evolution to Learn How to Perform Interest Point Detection

Synthesis of Interest Point Detectors Through Genetic Programming

Olague.txt

2

Jie Yao

Nawwaf Kharma

Peter Grogono

A multi-population genetic algorithm for robust and fast ellipse detection

Yao.txt

3

Nguyen Huu Thong

Tran Van Hao

Random Search via Probability Algorithm for Single Objective Optimization Problems

Thong-TEXT.doc

4

Kalyanmoy Deb

Aravind Srinivasan

Innovization: Innovating design principles through optimization

Deb.txt

Deb-Humies.ppt

5

Varun Aggarwal

Selçuk KILINÇ

Varun Jain

Uğur ÇAM

Catalogue of Variable Frequency and Single-Resistance-Controlled Oscillators Employing A Single Differential Difference Complementary Current Conveyor

Aggarwal.txt

6

Kumara Sastry

Duane D. Johnson

Alexis L. Thompson

David E. Goldberg

Todd J. Martinez

Jeff Leiding

Jane Owens

Multiobjective Genetic Algorithms for Multiscaling Excited-State Direct Dynamics in Photochemistry

Sastry.txt

7

Zheng Yi Wu

Tom Walski

Robert Mankowski

Greg Herrin

Robert Gurrieri

Mike Tryby

Paul Sage

Elio R. Arniella

Ernesto Gianellaand

Optimal Calibration Method for Water Distribution Water Quality Model

Water Loss Detection via Genetic Algorithm Optimization-based Model Calibration

Diagnosing error prone application of optimal model calibration

Darwin Calibrator -- Improving Project Productivity and Model Quality for Large Water System

Calibrating Water Distribution Model Via Genetic Algorithms

Paper Added July 4

wu.txt

revised statement July 4

HUMIES2006_Wu_slides.ppt

8

Antony Iorio

Xiaodong Li

Incorporating Directional Information within a Differential Evolution Algorithm for Multiobjective Optimization

Iorio.txt