Results 51 to 60 of about 25,976 (248)

Cirsium arvense management with electrical weed control and clopyralid

open access: yesPest Management Science, EarlyView.
Electrical weed control (EWC) treatments reduced Cirsium arvense biomass by ≤95% and suppressed new shoot emergence by 70–95%, achieving control comparable to clopyralid. Sequential or integrated applications enhanced efficacy, demonstrating EWC's potential as a nonchemical tool for perennial weed management in orchard systems.
Luisa Carolina Baccin   +1 more
wiley   +1 more source

A Hybridization of Dragonfly Algorithm Optimization and Angle Modulation Mechanism for 0-1 Knapsack Problems

open access: yesEntropy, 2021
The dragonfly algorithm (DA) is a new intelligent algorithm based on the theory of dragonfly foraging and evading predators. DA exhibits excellent performance in solving multimodal continuous functions and engineering problems.
Lin Wang, Ronghua Shi, Jian Dong
doaj   +1 more source

A genetic programming hyper-heuristic for the multidimensional knapsack problem [PDF]

open access: yes, 2014
Purpose: Hyper-heuristics are a class of high-level search techniques which operate on a search space of heuristics rather than directly on a search space of solutions.
David Griffiths   +6 more
core   +2 more sources

Autonomous Navigation in Large‐Scale Underground Environments Based on a Purely Topological Understanding of Tunnel Networks

open access: yesJournal of Field Robotics, EarlyView.
ABSTRACT This work presents a non‐geometrical navigation approach based on a purely topological understanding of underground environments. By conceptualizing subterranean scenarios as a set of tunnels that intersect with each other, and taking a navigation approach based on topological instructions, we simplify the navigation problem to the sequential ...
Lorenzo Cano   +2 more
wiley   +1 more source

Reinforcement learning-assisted multi-layered binary exponential distribution optimizer for 0–1 knapsack problem

open access: yesJournal of King Saud University: Computer and Information Sciences
The 0–1 knapsack problem (0-1KP) is a well-known discrete combinatorial optimization problem with various applications across multiple fields. Compared with traditional methods, metaheuristic algorithms show higher efficiency and flexibility in solving ...
Fengbin Wu   +5 more
doaj   +1 more source

List-Based Threshold Accepting Algorithm with Improved Neighbor Operator for 0–1 Knapsack Problem

open access: yesAlgorithms
The list-based threshold accepting (LBTA) algorithm is a sophisticated local search method that utilizes a threshold list to streamline the parameter tuning process in the traditional threshold accepting (TA) algorithm.
Liangcheng Wu   +3 more
doaj   +1 more source

Exact Solution Methods for the $k$-item Quadratic Knapsack Problem

open access: yes, 2016
The purpose of this paper is to solve the 0-1 $k$-item quadratic knapsack problem $(kQKP)$, a problem of maximizing a quadratic function subject to two linear constraints. We propose an exact method based on semidefinite optimization.
A Billionnet   +18 more
core   +2 more sources

Generalized Assignment via Submodular Optimization with Reserved Capacity [PDF]

open access: yes, 2019
We study a variant of the generalized assignment problem (GAP) with group constraints. An instance of (Group GAP) is a set I of items, partitioned into L groups, and a set of m uniform (unit-sized) bins.
Kulik, Ariel   +3 more
core   +2 more sources

Inkjet‐Printed Physical Unclonable Functions For Secure Authentication

open access: yesSmall, EarlyView.
Herein, we propose a low‐cost authentication system based on a scalable fabrication technology and user friendly recognition system. It involves inkjet printing as a manufacturing method and an optical recognition system based on contour features extraction.
Riccardo Sargeni   +5 more
wiley   +1 more source

Dynamic Resource Allocation Optimisation and Security‐Resilient Control for Bandwidth‐Limited Network Control Systems With Data Conflicts

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Networked control systems (NCSs) often suffer from performance degradation due to limited communication bandwidth, which can cause data transmission conflicts and packet loss. Existing scheduling strategies may fail to simultaneously meet the real‐time requirements and the importance of multisensor data, and they are particularly vulnerable ...
Da Chen   +5 more
wiley   +1 more source

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