Professional activities IEEE CIS Task Force on Large Scale Global Optimization IEEE CIS Task Force on Swarm Intelligence IEEE CIS Task Force on Multi-modal Optimization RMIT Optimisation Group
Research and Learning Resources How to writeWritten communication, critical assessment, and avoiding plagiarism? (Tim Kovacs and Peter Flach) How to Succeed in Graduate School: A Guide for Students and Advisors? Overleaf - collaborative writing and publishing A short guide to using statistics in Evolutionary Computation Statistics 101: ANOVA, A Visual Introduction (Youtube by Brandon Foltz) Statistics 101: To z or to t, That is the Question (Youtube by Brandon Foltz)
Tutorials Evolutionary Multi-objective Optimization by Eckart Zitzler (2002) Statistical analysis for evolutionary computation: introduction by Mark Wineberg and Steffen Christensen Particle Swarm Optimization by Xiaodong Li Evolutionary Bi-level Optimization by Ankur Sinha, Pekka Malo, and Kalyanmoy Deb Decomposition and cooperative coevolution techniques for large scale global optimization by Xiaodong Li Recent Advances in Multi-modal Optimization using Niching Methods by Michael G. Epitropakis, Xiaodong Li and Andries Engelbrecht. Machine Learning from Wikipedia A Few Useful Things to Know About Machine Learning by Pedro Domingos (and his talk on "The Master Algorithm" on Youtube) Niches of Population-Based Optimization Algorithms in Practice by Kalyanmoy Deb. GIAN course "Optimization for Innovation in Research and Practice" (Youtube) by Kalyanmoy Deb.