Efficient computation of expected hypervolume improvement using box decomposition algorithms

Improved quick hypervolume algorithm

(2018) Andrzej Jaszkiewicz   COMPUTERS & OPERATIONS RESEARCH

Efficient computation of the search region in multi-objective optimization

(2017) Kerstin Dächert et al.   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

A survey on handling computationally expensive multiobjective optimization problems with evolutionary algorithms

(2017) Tinkle Chugh et al.   SOFT COMPUTING

Efficient multi-criteria optimization on noisy machine learning problems

(2015) Patrick Koch et al.   APPLIED SOFT COMPUTING

An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point-Based Nondominated Sorting Approach, Part I: Solving Problems With Box Constraints

(2013) Kalyanmoy Deb et al.   IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION

Quick Hypervolume

(2013) Luis M. S. Russo et al.   IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION

Fast calculation of multiobjective probability of improvement and expected improvement criteria for Pareto optimization

(2013) Ivo Couckuyt et al.   JOURNAL OF GLOBAL OPTIMIZATION

Updating Kriging Surrogate Models Based on the Hypervolume Indicator in Multi-Objective Optimization

(2013) Koji Shimoyama et al.   JOURNAL OF MECHANICAL DESIGN