In this paper, developed a new multi-product, multi-period, and multi-level closed-loop green supply chain planning model under uncertain conditions. The formulated model consists of five objective functions, which minimize the cost of the supply chain, minimize the CO2 emission of transportation vehicles, maximize the reliability of manufacturing and distribution centers, maximize t...

this paper is a research on the ordering planning of a supply chain with one supplier, multi buyer and multi deteriorating items. items have fixed life time and expire dates. the ordering period is taken as variable and must be computed the proposed models. the problem is studied via two different approaches the first is the joint replenishment, based on the hwang and chew's model [3] and ...

In this paper, a novel multi-objective orthogonal simulated annealing algorithm MOOSA using a generalized Pareto-based scale-independent fitness function and multi-objective intelligent generation mechanism (MOIGM) is proposed to efficiently solve multi-objective optimization problems with large parameters. Instead of generate-and-test methods, MOIGM makes use of a systematic reasoning ability ...

Power consumption in wireless sensor networks is high, and the lifetime of a battery has become bottleneck, restricting network performance. Wireless power transfer with ground mobile charger vulnerable to interference from terrain other factors, hence it difficult deploy practice. Accordingly, novel paradigm adopted where multi-UAV (unmanned aerial vehicle) batteries can information SDs (senso...

The association mechanism between the main operation parameters and multi-physical fields of large-scale vertical mill system is unclear, which leads to difficulty in optimizing improve performance large systems. To investigate field coupling mill, numerical simulation method constructed by coupled CFD-DPM model calculate finished product quality, results were good agreement with actual results...

Operation optimization for large-scale offshore wind farms can cause the fatigue loads of single turbines to exceed their limits. This study aims improve economic profit by conducting multi-objective via decoupled group operations turbines. To do this, a farm is firstly divided into several subsets through parallel depth-first search (PDFS) and hyperlink-induced topic (HITS) algorithms based on...