Results 61 to 70 of about 3,843 (214)
Production routing decisions in a two‐echelon supply chain with multiple delivery modes
Abstract We study an original two‐echelon production routing problem with multiple delivery modes (2E‐PRP‐MDM). In the first echelon, the primary production facility is tasked with satisfying the demands of two distinct entities: a set of warehouses and a set of customers through direct shipments. In the second echelon, warehouses become delivery hubs,
Rachida Benfedel +2 more
wiley +1 more source
Hepatocyte BDNF Acts as a Novel Immune Checkpoint to Restrain TLR4‐Mediated Acute Hepatitis
This study identifies hepatocyte‐derived BDNF as an endogenous TLR4 antagonist that alleviates acute hepatitis. BDNF is downregulated in hepatocytes via REST‐mediated transcriptional repression during ALI/ALF. Mechanistically, BDNF binds to TLR4 on macrophages to suppress inflammation.
Weiwei Zhu +15 more
wiley +1 more source
In environments rich in data, machine learning models often encounter challenges such as data sparsity and overfitting, primarily due to datasets with an excessive number of features.
Keerthi Gabbi Reddy, Deepasikha Mishra
doaj +1 more source
Multiobjective memetic algorithm applied to the optimisation of water distribution systems
Finding low-cost designs of water distribution systems (WDSs) which satisfy appropriate levels of network performance within a manageable time is a complex problem of increasing importance.
Euan Barlow +3 more
core +1 more source
ADAPTIVE MULTI-OBJECTIVE SUB-PIXEL MAPPING FRAMEWORK BASED ON MEMETIC ALGORITHM FOR HYPERSPECTRAL REMOTE SENSING IMAGERY [PDF]
Sub-pixel mapping technique can specify the location of each class within the pixels based on the assumption of spatial dependence. Traditional sub-pixel mapping algorithms only consider the spatial dependence at the pixel level.
Y. Zhong, L. Zhang
doaj +1 more source
Memetic Algorithms for the MinLA Problem [PDF]
This paper presents a new Memetic Algorithm designed to compute near optimal solutions for the MinLA problem. It incorporates a highly specialized crossover operator, a fast MinLA heuristic used to create the initial population and a local search operator based on a fine tuned Simulated Annealing algorithm.
Eduardo Rodriguez-Tello +2 more
openaire +1 more source
The configuration of WSN design parameters presents a formidable multi‐objective optimization challenge characterized by five competing objectives that exhibit complex interdependencies. Figure 1 illustrates a typical WSN deployment topology showing sensor nodes, cluster heads, coverage areas, and various network conditions including out‐of‐range ...
Sandeep Deshmukh +8 more
wiley +1 more source
An Efficient Memetic Algorithm for the Minimum Load Coloring Problem
Given a graph G with n vertices and l edges, the load distribution of a coloring q: V → {red, blue} is defined as dq = (rq, bq), in which rq is the number of edges with at least one end-vertex colored red and bq is the number of edges with at least
Zhiqiang Zhang +3 more
doaj +1 more source
A Modified Shuffled Frog Leaping Algorithm for the Topology Optimization of Electromagnet Devices
The memetic algorithms which employ population information spreading mechanism have shown great potentials in solving complex three-dimensional black-box problems.
Wenjia Yang, Siu Lau Ho, Weinong Fu
doaj +1 more source
Memetic Strategy of Particle Swarm Optimization for One-Dimensional Magnetotelluric Inversions
The heuristic algorithm represented by particle swarm optimization (PSO) is an effective tool for addressing serious nonlinearity in one-dimensional magnetotelluric (MT) inversions. PSO has the shortcomings of insufficient population diversity and a lack
Ruiheng Li +6 more
doaj +1 more source

