Results 121 to 130 of about 5,049 (236)
Abstract In Tower Defense (TD) games, the objective is to defend a specific point on the game map from mobile units by constructing towers with offensive capabilities. In this work, we focus on Bloons Tower Defense (Bloons TD), one of the earliest and most prominent TD games.
Maxence Delorme, Jakub Malinowski
wiley +1 more source
Straddle carrier routing optimization at container terminals utilizing telemetry‐based prediction
Abstract Efficient vehicle routing and scheduling for horizontal transport means on container terminals can reduce lead times and travel distances, resulting in fuel savings and productivity gains. We apply machine learning to emulate operational processes, bridging the gap between theoretical optimization models and real‐world practices at container ...
Julian Neugebauer +3 more
wiley +1 more source
Abstract In response to the increasing complexity of modern products, dynamic markets, and intensified competition, project‐based organizations are actively seeking methodologies to efficiently manage their expanding project portfolios. This paper analyzes the project portfolio selection problem in uncertain environments. Despite recent advances in the
Miguel Saiz +3 more
wiley +1 more source
Abstract One of the most common problems in the expansion of a company consists of deciding the most appropriate locations for their facilities. This decision problem, known as the facility location problem, has been studied from different perspectives, considering a number of different constraints.
Enrique García‐Galán +2 more
wiley +1 more source
Hybrid Nature-Inspired Optimization for the Cell Formation Problem with Machine Reliability and Alternative Routings. [PDF]
Figueroa-Torrez P +6 more
europepmc +1 more source
Abstract This paper investigates an extension of the vehicle routing problem in which, in addition to minimizing the distance traveled, the sequencing of customer visits is subject to precedence constraints that impose visiting priorities among customers.
Eduardo dos Santos Teixeira +1 more
wiley +1 more source
A Q-Learning-Enhanced Cuckoo Catfish Optimizer (CCO-RL): A Comparative Study of Nine Metaheuristics Applied to CEC2017, CEC2022 and Engineering Design Problems. [PDF]
Tawil AA +3 more
europepmc +1 more source
The impact of public drop‐off boxes and autonomous delivery robots in last‐mile delivery
Abstract The growing concern over emissions from last‐mile logistics is motivating the development of innovative delivery models aimed at reducing environmental impact and traffic congestion. To this end, we propose a last‐mile delivery scheme based on both public drop‐off boxes and autonomous delivery robots.
Gianpaolo Ghiani +3 more
wiley +1 more source
Comprehensive Learning Fungal Growth Optimizer for Numerical Optimization and Reservoir Production Optimization. [PDF]
Gong M, Song Z, Zhang X, Tang Y.
europepmc +1 more source

