A genetic algorithm and an indifference-zone ranking and selection framework for simulation optimization

Proceeding of the 2001 Winter Simulation Conference …, 2001 - ieeexplore.ieee.org
A methodology for optimization of simulation models is presented. The methodology is
based on a genetic algorithm in conjunction with an indifference-zone ranking and selection …
被引用次数：25 相关文章

A Genetic Algorithm And An Indifference-Zone Ranking And Selection Framework For Simulation Optimization

HE Hedlund, M Mollaghasemi - 2001 - stars.library.ucf.edu
A methodology for optimization of simulation models is presented. The methodology is
based on a genetic algorithm in conjunction with an indifference-zone ranking and selection …

A genetic algorithm and an indifference-zone ranking and selection framework for simulation optimization

HE Hedlund, M Mollaghasemi - Winter Simulation Conference, 2001 - computer.org
Existing measurement frameworks typically assume that the communication protocols and
mechanisms running on the devices do not change during network operation. However …

A genetic algorithm and an indifference-zone ranking and selection framework for simulation optimization

HE Hedlund, M Mollaghasemi - Proceedings of the 33nd conference on …, 2001 - dl.acm.org
A methodology for optimization of simulation models is presented. The methodology is
based on a genetic algorithm in conjunction with an indifference-zone ranking and selection …

A genetic algorithm and an indifference-zone ranking and selection framework for simulation optimization

HE Hedlund, M Mollaghasemi - Winter Simulation Conference, 2001 - store.computer.org
A methodology for optimization of simulation models is presented. The methodology is
based on a genetic algorithm in conjunction with an indifference-zone ranking and selection …