Results 31 to 40 of about 3,661,069 (207)
SICE Journal of Control, Measurement, and System Integration, 2022 This paper investigates distributed online assignment of charging stations for a drone network in a persistent coverage control task. To ensure persistency not only in motion but also in energy, drones need to go back to charging stations before running ...
Zhiyuan Lu +3 more
doaj +1 more source
Enhancing Local Decisions in Agent-Based Cartesian Genetic Programming by CMA-ES
Systems, 2023 Cartesian genetic programming is a popular version of classical genetic programming, and it has now demonstrated a very good performance in solving various use cases. Originally, programs evolved by using a centralized optimization approach. Recently, an
Jörg Bremer, Sebastian Lehnhoff
doaj +1 more source
Distributed global optimization (DGO) [PDF]
Proceedings of International Conference on Neural Networks (ICNN'96), 2002 A new technique of global optimization and its applications in particular to neural networks are presented. The algorithm is also compared to other global optimization algorithms such as Gradient descent (GD), Monte Carlo (MC), Genetic Algorithm (GA) and other commercial packages.
Homayoun Valafar +2 more
openaire +3 more sources
A method for generating a well-distributed Pareto set in nonlinear multiobjective optimization [PDF]
, 2009 A method is presented for generating a well-distributed Pareto set in nonlinear multiobjective optimization. The approach shares conceptual similarity with the Physical Programming-based method, the Normal-Boundary Intersection and the Normal ...
Utyuzhnikov, S.V.; id_orcid +7 more
core +1 more source
Distributed Predefined-Time Optimization for Second-Order Systems under Detail-Balanced Graphs
Machines, 2023 This paper studies the problem of distributed predefined-time optimization for leaderless consensus of second-order multi-agent systems under a class of weighted digraphs. The proposed framework has two main steps.
Pablo De Villeros +5 more
doaj +1 more source
Augmented Cucker-Smale Model for Distributed Optimization
IEEE Access, 2021 The Cucker-Smale (C-S) model describes an interacting particle system in which the connection weights decrease with increasing distance. This model features emergent behaviors by which the velocities of the particles converge to a common value without a ...
Qiao Zhang +4 more
doaj +1 more source
Zhejiang dianli, 2022 New energy stations and energy storage power stations are working in closer cooperation in the context of a high proportion of new energy access with high uncertainty. Given the characteristics of distributed autonomous decision-making between new energy
WU Xiaogang +4 more
doaj +1 more source
Distributed strongly convex optimization [PDF]
2012 50th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2012 18 pages single column draftcls format, 1 figure, Submitted to Allerton ...
Konstantinos I. Tsianos +1 more
openaire +3 more sources
Machine learning and transfer learning techniques for accurate brain tumor classification
Clinical eHealthBrain tumors, resulting from uncontrolled and rapid cell growth, pose significant health risks if not treated early. Despite numerous advancements, accurate segmentation and classification remain challenging.
Seyed Matin Malakouti +2 more
doaj +1 more source
ML: Early Breast Cancer Diagnosis
Current Problems in Cancer: Case ReportsBreast cancer is the most common malignancy among women worldwide, often characterized by the uncontrolled proliferation of breast cells, leading to the formation of lumps or tumors that can be detected through medical imaging such as X-rays ...
Seyed Matin Malakouti +2 more
doaj +1 more source