Wait Time–Based Pricing for Queues with Customer-Chosen Service Times

This paper studies a pricing problem for a single-server queue where customers arrive according to a Poisson process. For each arriving customer, the service provider announces a price rate and sys…

Counterintuitive Experimental Results in Evolutionary Large-Scale Multiobject…

Recently, large-scale multiobjective optimization has received increasing attention from the evolutionary multiobjective optimization (EMO) community. This has led to the emergence of a specialized…

A Survey on the Hypervolume Indicator in Evolutionary Multiobjective Optimiza…

Hypervolume is widely used as a performance indicator in the field of evolutionary multiobjective optimization (EMO). It is used not only for performance evaluation of EMO algorithms (EMOAs) but al…

Fast Greedy Subset Selection From Large Candidate Solution Sets in Evolutiona…

Subset selection plays an important role in the field of evolutionary multiobjective optimization (EMO). Especially, in an EMO algorithm with an unbounded external archive (UEA), subset selection i…

Impact of Information Asymmetry and Limited Production Capacity on Business I…

We consider a firm that faces a potential disruption in its normal operations can purchase business interruption (BI) insurance from an insurer to guard against the disruption risk. The firm makes …

Hypervolume-Optimal μ-Distributions on Line/Plane-Based Pareto Fronts in Thr…

Hypervolume is widely used in the evolutionary multiobjective optimization (EMO) field to evaluate the quality of a solution set. For a solution set with μ solutions on a Pareto front, a larger hy…

Difficulties in Fair Performance Comparison of Multi-Objective Evolutionary A…

The performance of a newly designed evolutionary algorithm is usually evaluated by computational experiments in comparison with existing algorithms. However, comparison results depend on experiment…

R2-Based Hypervolume Contribution Approximation

In this letter, a new hypervolume contribution approximation method is proposed which is formulated as an R2 indicator. The basic idea of the proposed method is to use different line segments only …

The Importance of p-Doping for Quantum Dot Laser on Silicon Performance

p -type modulation doping of the quantum dot active region is known to improve high temperature and dynamic performance of quantum dot lasers. These improvements are critical to realizing commercia…

A New Hypervolume-Based Evolutionary Algorithm for Many Objective Optimization