This research proposed an optimization method using a solution technique based on two well-known techniques, differential evolution and particle swarm optimization, to tackle a multi-visit and multi-period workforce scheduling and routing problem in field service operation of a sugarcane mill...

In this paper a new method is proposed to identify parameters of the photovoltaic (PV) solar cells model. The method is a combination of a heuristic algorithm called flexible improved particle swarm optimization (FIPSO) and a gradient based algorithm called sequential quadratic programming...

Blockchain and cryptocurrency are gradually going mainstream with new cryptocurrencies introduced every single day. The speculative nature of these digital assets expose their prices to large fluctuations. Trading these crypto-assets necessitate an adequate understanding of this emerging market...

A practical stochastic location-inventory-delivery problem with multi-item joint replenishment is studied. Unlike the conventional location-inventory model with a continuous-review (r, Q) inventory policy, the periodic-review inventory policy is adopted with multi-item joint replenishment under...

Today's volatile market conditions in electronic industries have lead to a new production system, seru (which is the Japanese pronunciation for cell), and has been widely implemented in hundreds of Japanese and other Asia companies. In particular, the rotating seru has been widely implemented,...

Machine learning (ML) is a new-age thriving technology, which facilitates computers to read and interpret from the previously present data automatically. It makes use of multiple algorithms to build models, mathematical in nature, and then makes predictions for the new data using the past data...