Results 81 to 90 of about 51,530 (240)
Farmer Ants Optimization Algorithm: A Novel Metaheuristic for Solving Discrete Optimization Problems
Currently, certain complex issues are classified as NP-hard problems, for which there is no exact solution, or they cannot be solved in a reasonable amount of time. As a result, metaheuristic algorithms have been developed as an alternative.
Ali Asghari +4 more
doaj +1 more source
The dynamic traveling salesman problem (DTSP) falls under the category of combinatorial dynamic optimization problems. The DTSP is composed of a primary TSP sub-problem and a series of TSP iterations; each iteration is created by changing the previous ...
Petr Stodola +3 more
doaj +1 more source
Leveraging Public Transit for Robotic Deliveries: A Column Generation Approach
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 study on exponential-size neighborhoods for the bin packing problem with conflicts
We propose an iterated local search based on several classes of local and large neighborhoods for the bin packing problem with conflicts. This problem, which combines the characteristics of both bin packing and vertex coloring, arises in various ...
Capua, Renatha +3 more
core +1 more source
Finding Maximum Weight 2‐Packing Sets on Arbitrary Graphs
ABSTRACT A 2‐packing set for an undirected, weighted graph G=(V,E,w)$$ G=\left(V,\kern0.3em E,\kern0.3em w\right) $$ is a subset 𝒮⊆V such that any two vertices v1,v2∈𝒮 are not adjacent and have no common neighbors. The Maximum Weight 2‐Packing Set problem that asks for a 2‐packing set of maximum weight is NP$$ \mathbf{NP} $$‐hard. Next to 13 novel data
Jannick Borowitz +2 more
wiley +1 more source
ACO for continuous function optimization: a performance analysis [PDF]
The performance of the meta-heuristic algorithms often depends on their parameter settings. Appropriate tuning of the underlying parameters can drastically improve the performance of a meta-heuristic. The Ant Colony Optimization (ACO), a population based
Abraham, Ajith +2 more
core
ABSTRACT This study presents an analysis of the literature on artificial intelligence (AI), blockchain and internet of things (IoT) for the sustainable development of the service industry of freight transport and logistics service providers (LSPs).
Roberto Cerchione +2 more
wiley +1 more source
We report a magnetic particle anchored locked aptamer platform integrated with hyperbranched HCR and DNAzyme amplification for enzyme‐free, ultrasensitive detection of cardiac troponin I. The assay achieves a 0.25 ng/L detection limit within 25 minutes and enables cross‐species MI detection, with machine learning classification reaching 90% accuracy ...
Sayantan Tripathy +9 more
wiley +1 more source
Heuristics for the traveling repairman problem with profits [PDF]
In the traveling repairman problem with profits, a repairman (also known as the server) visits a subset of nodes in order to collect time-dependent profits. The objective consists of maximizing the total collected revenue.
Dewilde, Thijs +4 more
core +1 more source
In terms of the concepts of state and state transition, a new heuristic random search algorithm named state transition algorithm is proposed. For continuous function optimization problems, four special transformation operators called rotation ...
A. H. Wright +33 more
core +1 more source

