A Multi-Stage Differential-Multifactorial Evolutionary Algorithm for Ingredient Optimization in the Copper Industry

Ingredient optimization plays a pivotal role in the copper industry,for which it is closely related to the concentrate utilization rate,stability of furnace conditions,and the quality of copper production.To acquire a practical ingredient plan,which should exhibit long duration time with sufficient utilization and feeding stability for real applications,an ingredient plan optimization model is proposed in this study to effectively guarantee continuous production and stable furnace conditions.To address the complex challenges posed by this integer programming model,including multiple coupling feeding stages,intricate constraints,and significant non-linearity,a multi-stage differential-multifactorial evolution algorithm is developed.In the proposed algorithm,the differential evolutionary(DE)algorithm is improved in three aspects to efficiently tackle challenges when optimizing the proposed model.First,unlike traditional time-consuming serial approaches,the multifactorial evolutionary algorithm is utilized to optimize multiple complex models contained in the population of evolutionary algorithm caused by the feeding stability in a parallel manner.Second,a repair algorithm is employed to adjust infeasible ingredient lists in a timely manner.In addition,a local search strategy taking feedback from the current optima and considering the different positions of global optimum is developed to avoiding premature convergence of the differential evolutionary algorithm.Finally,the simulation experiments considering different planning horizons using real data from the copper industry in China are conducted,which demonstrates the superiority of the proposed method on feeding duration and stability compared with other commonly deployed approaches.It is practically helpful for reducing material cost as well as increasing production profit for the copper industry.

A Novel Competition-Based Coordination Model With Dynamic Feedback for Multi-Robot Systems

Dear Editor, Task allocation strategies are important in multi-robot systems and have been intensely investigated by researchers because they are critical in determining the performance of the system. In this letter, a novel competition-based coordination model is proposed to solve the multi-robot task allocation problem and applied to a multi-robot object tracking scenario.

Phosphatidylserine externalized on the colonic capillaries as a novel pharmacological target for IBD therapy

Inflammatory bowel disease(IBD)is a chronic and relapsing disorder for many people associated with poor health.Although there are some clinical drugs for IBD treatment,the development of effective therapeutics on IBD patients has always been necessary.Here,we show that externalized phosphatidylserine(PS)is observed on the surface of colonic capillaries.Annexin A5(ANXA5)with high affinity for PS has a good targeting to the colon and effectively alleviates experimental colitis.In contrast,ANXA5 mutant(A5m)lacking the PS-binding ability,has no accumulation in the colon and no therapeutic effects on colitis.Mechanistic investigations indicate that ANXA5 reduces the inflammatory cell infiltration by inhibiting endothelial cell activation dependent on PS-binding ability.With the increasing of PS exposure on activated HUVECs(human umbilical vein endothelial cells),ANXA5 binding induces the internalization of TLR4 via PS-dependent endocytosis.We provide new insights on the molecular mechanism of ANXA5 for its anti-inflammatory effect.Our data suggest that PS-externalization is a potential target of ANXA5 aiming at targeted drug delivery(TDD)for IBD treatment.

Description and surgical management of epiretinal membrane due to combined hamartoma of the retina and retinal pigment epithelium

Purpose:To outline the characteristics of Combined Hamartoma of the Retina and Retinal Pigmentation Epithelium(CHRRPE)and provide a comprehensive overview of surgical management of epiretinal membrane(ERM)caused by CHRRPE.Main text:CHRRPE is a rare ocular tumor.It clinically mimics other diseases such as retinoblastoma and choroidal melanoma.The present study reviewed the multimodal imaging of CHRRPE,highlighted the multimodal imaging modalities which are useful for revealing the unique features of CHRRPE and hence allowing physicians to confirm the diagnosis.Although most of CHRRPEs are benign harmatoma,progressive visual loss may occur because of the traction of the tumor and other complications.It is treated through surgical removal of the ERM caused by CHRRPE to free retina from the traction.Currently,there is no consensus on the surgical management of CHRRPE.Therefore,the current review was designed to explore the surgical management of ERM caused by CHRRPE and hence provide updated data on this subject.Conclusions:Multimodal imaging technologies,especially optical coherence tomography(OCT),significantly contributes to the diagnosis of CHRRPE and visual prognosis.Surgical management of CHRRPE through removal of ERM is beneficial in patients with worsening VA which is secondary to ERM which is associated with CHRRPE.However,the strategy is limited to patients with long-standing poor vision.However,earlier surgical therapy and subsequent postoperative amblyopia therapy can be explored for children of amblyogenic age.