The International Conference on ACM Genetics and Evolutionary Computation abbreviated as “GECCO” was held in Berlin, Germany, from July 15th to 17th where SUSTech Professor of Computer Science and Engineering Hisao Ishibuchi won the best paper award for his research on the “Reference Point Specification for Hyper Volume Calculation for Fair Comparison and Efficient Search”.

The evolutionary objective optimization is a very active research field in the evolution of computer science. Currently, more than 100 algorithms have been proposed causing questions on how to slightly compare these given numbers on a completely different basis. In Prof Ishibuchi’s paper, he presents a clear solution to this problem by proposing a class of theoretical reference point definition methods for super-volume calculations.

Starting in 1999, GECCO is well known for its conferences which showcase the highest level of scientific results in genetics and the science of evolution, especially in fields like genetic algorithms, genetic programming, ant colony optimization, swarm intelligence, complex systems and evolutionary machine learning. GECCO awards only one best paper for each of its field, Prof Ishibuchi proudly rewarded for his evolutionary multi-objective optimization field.

Translation and Layout by Semson J Nip

Edited by Jeremy Welburn