Results 81 to 90 of about 55,623 (279)
Precision Restoration to Minimize Soil Loss in a Watershed in the Atlantic Forest Domain
Land Degradation &Development, EarlyView.ABSTRACT The Turvo River Watershed, located in the Zona da Mata region of Minas Gerais and part of the Doce River Basin, faces serious problems of erosion and soil degradation, which compromise and reduce the quality of local water resources. Given this scenario, it is essential to implement environmental recovery strategies that prioritize the ...
Rodrigo Nobre Santana +6 more
wiley +1 more source
A metaheuristic image cryptosystem using improved parallel model and many‐objective optimization
IET Image ProcessingMetaheuristic is one of the techniques to improve the security of image encryption. However, existing metaheuristic image cryptosystems based on metaheuristic may have convergence difficulties during the optimization process, which cause insecurity and ...
Zihao Xin +4 more
doaj +1 more source
Current Trends in Simheuristics: from smart transportation to agent-based simheuristics [PDF]
, 2018 Simheuristics extend metaheuristics by adding a simulation layer that allows the optimization component to deal efficiently with scenarios under uncertainty.
Estrada-Moreno, Alejandro +4 more
core
A collaborative ant colony metaheuristic for distributed multi-level lot-sizing
, 2012 The paper presents an ant colony optimization metaheuristic for collaborative planning. Collaborative planning is used to coordinate individual plans of self-interested decision makers with private information in order to increase the overall benefit of ...
Buer, Tobias +2 more
core +1 more source
METAHEURISTICS AND LARGE‐SCALE OPTIMIZATION
Technological and Economic Development of Economy, 2006 „Metaheuristics and large-scale optimization" Technological and Economic Development of Economy, 12(1), p ...
openaire +4 more sources
On the Mean‐Field Limit of Consensus‐Based Methods
Mathematical Methods in the Applied Sciences, EarlyView.ABSTRACT Consensus‐based optimization (CBO) employs a swarm of particles evolving as a system of stochastic differential equations (SDEs). Recently, it has been adapted to yield a derivative free sampling method referred to as consensus‐based sampling (CBS). In this paper, we investigate the “mean‐field limit” of a class of consensus methods, including
Marvin Koß, Simon Weissmann, Jakob Zech
wiley +1 more source
A New Metaheuristic Bat-Inspired Algorithm
, 2010 Metaheuristic algorithms such as particle swarm optimization, firefly algorithm and harmony search are now becoming powerful methods for solving many tough optimization problems.
J. Kennedy +9 more
core +1 more source
International Journal of Mechanical System Dynamics, EarlyView.ABSTRACT Modern engineering systems require advanced uncertainty‐aware model updating methods that address parameter correlations beyond conventional interval analysis. This paper proposes a novel framework integrating Riemannian manifold theory with Gaussian Process Regression (GPR) for systems governed by Symmetric Positive‐Definite (SPD) matrix ...
Yanhe Tao +3 more
wiley +1 more source
The Vehicle Routing Problem with Service Level Constraints
, 2017 We consider a vehicle routing problem which seeks to minimize cost subject to service level constraints on several groups of deliveries. This problem captures some essential challenges faced by a logistics provider which operates transportation services ...
Bulhões, Teobaldo +3 more
core +1 more source
Finding Maximum Weight 2‐Packing Sets on Arbitrary Graphs
Networks, EarlyView.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