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Supply chain partners often face a fundamental trade-off: dishonesty can provide immediate rewards, but excessive lying erodes credibility and undermines future opportunities. Prior research has ...

As someone who has spent the better part of two decades studying supply chain optimization and witnessing the evolution of warehouse operations, I can confidently say that we're experiencing a ...

Solving combinatorial optimization problems is essential in scientific, technological, and engineering applications, but can be very time and energy-consuming using classical algorithms executed on ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. This research introduces a machine learning-centric approach to replicate olfactory ...

In today's era of rapid technological advancement, optimization algorithms play a pivotal role in solving complex problems across various domains, from engineering and finance to healthcare and ...

Abstract: Due to the existence and building of an important number of combined cycle plants throughout electric power systems around the world, there exists the growing need to have a more accurate ...

This paper introduces a new human-based metaheuristic algorithm called Sewing Training-Based Optimization (STBO), which has applications in handling optimization tasks. The fundamental inspiration of ...

Yash is an aspiring computer science student who loves to build things and write about all things tech. In his free time, he likes to play Squash, read a copy of the latest Murakami, and hunt dragons ...

Uncertainties are widespread in the optimization of process systems, such as uncertainties in process technologies, prices, and customer demands. In this paper, we review the basic concepts and recent ...