Results 71 to 80 of about 11,900 (220)

Enhancing Rock Strength Prediction and Features Selection by Coupling Well Log Data and Deep Learning Approaches in Reservoir Geomechanics

International Journal for Numerical and Analytical Methods in Geomechanics, EarlyView.
ABSTRACT Accurate rock strength parameters play a vital role in petroleum and mining operations for sustainable drilling activities, and wellbore stability analysis. This study investigates the applicability of deep learning techniques for assessing data‐driven models, and to conduct parametric sensitivity examination for feature attributes ranking to ...
Mohammad Islam Miah, Md. Shakil Rahaman, Travis Wiens   +2 more
wiley   +1 more source

Leveraging Public Transit for Robotic Deliveries: A Column Generation Approach

Naval Research Logistics (NRL), EarlyView.
ABSTRACT Autonomous mobile robots (AMRs) are small, electric, wheeled vehicles that operate at pedestrian speeds. In the last‐mile delivery service considered in this study, a fleet of AMRs is deployed across multiple recharging depots within a service area, from which they depart to perform point‐to‐point deliveries. We consider an operational setting
Yishay Shapira, Mor Kaspi
wiley   +1 more source

A Two-Level Metaheuristic Algorithm for the Job-Shop Scheduling Problem

Complexity, 2019
This paper proposes a novel two-level metaheuristic algorithm, consisting of an upper-level algorithm and a lower-level algorithm, for the job-shop scheduling problem (JSP).
Pisut Pongchairerks
doaj   +1 more source

Self‐Service and Home Delivery Combined: Coordinating the Route of a Mobile Parcel Locker With the Delivery Tasks of Its Human Driver

Networks, EarlyView.
ABSTRACT In response to the increasing volume of parcels, last‐mile delivery innovations are exploring the integration of multiple delivery modes. The most prominent examples are delivery vans that, next to being the base for the delivery tasks of their human drivers, also function as mobile launching platforms for drones or autonomous delivery robots.
Nils Boysen, Dirk Briskorn, Stefan Schwerdfeger   +2 more
wiley   +1 more source

Interdiction Models and Heuristics for Graph Propagation

Networks, EarlyView.
ABSTRACT Given a graph G=(V,E)$$ G=\left(V,E\right) $$ and a set S⊂V$$ S\subset V $$ of activated/infected nodes, we consider the problem of determining the set of c$$ c $$ nodes that minimizes the network propagation on the subgraph that results from the removal of those c$$ c $$ nodes. To measure network propagation, we assume that a node i$$ i $$ is
Agostinho Agra, José Maria Samuco
wiley   +1 more source

A Chance‐Constrained Model for a Production Routing Problem With Uncertain Availability of Vehicles

Networks, EarlyView.
ABSTRACT The Production Routing Problem (PRP) is a complex integrated problem that allows for the achievement of competitive advantages, such as better management of inventory, reduction in operational costs and lead times, improvement in efficiency and customer service, and better response to market changes.
Alline Zanette, Michel Gendreau, Walter Rei   +2 more
wiley   +1 more source

Real-World Applications of Metaheuristic Algorithms: A Comprehensive Review of the State-of-the-Art

Diyala Journal of Engineering Sciences
Metaheuristic algorithms have gained significant acceptance in large areas of optimization, giving unique and novel solutions to complicated problems across various areas.
Dler O. Hasan, Aso Aladdin
doaj   +1 more source

A Study on the Enhanced Best Performance Algorithm for the Just-in-Time Scheduling Problem

Discrete Dynamics in Nature and Society, 2015
The Just-In-Time (JIT) scheduling problem is an important subject of study. It essentially constitutes the problem of scheduling critical business resources in an attempt to optimize given business objectives.
Sivashan Chetty, Aderemi O. Adewumi
doaj   +1 more source

M3RS: Multi‐Robot, Multi‐Objective, and Multi‐Mode Routing and Scheduling

Journal of Field Robotics, EarlyView.
ABSTRACT Task execution quality significantly impacts multi‐robot missions, yet existing task allocation frameworks rarely consider quality of service as a decision variable, despite its importance in applications like robotic disinfection and cleaning. We introduce the multi‐robot, multi‐objective, and multi‐mode routing and scheduling (M3RS) problem,
Ishaan Mehta, Junseo Kim, Sharareh Taghipour, Sajad Saeedi   +3 more
wiley   +1 more source

U-Shaped Assembly Line Balancing by Using Differential Evolution Algorithm

Mathematical and Computational Applications, 2018
The objective of this research is to develop metaheuristic methods by using the differential evolution (DE) algorithm for solving the U-shaped assembly line balancing problem Type 1 (UALBP-1). The proposed DE algorithm is applied for balancing the lines (
Poontana Sresracoo, Nuchsara Kriengkorakot, Preecha Kriengkorakot, Krit Chantarasamai   +3 more
doaj   +1 more source