Results 21 to 30 of about 52,409 (312)
Analysis of the weighted Tchebycheff weight set decomposition for multiobjective discrete optimization problems [PDF]
, 2023 Scalarization is a common technique to transform a multiobjective optimization problem into a scalar-valued optimization problem. This article deals with the weighted Tchebycheff scalarization applied to multiobjective discrete optimization problems ...
Helfrich, Stephan +9 more
core +1 more source
Convergence of pseudospectral discretizations of optimal control problems [PDF]
Proceedings of the 40th IEEE Conference on Decision and Control (Cat. No.01CH37228), 2002 A generic nonlinear optimal control problem with a Bolza cost functional is discretized by a Legendre pseudospectral method. According to the covector mapping theorem, the Karush-Kuhn-Tucker multipliers of the discrete problem map linearly to the spectrally discretized covectors of the Bolza problem.
Ross, Michael I., Fahroo, Fariba
openaire +3 more sources
Algorithms, 2020 Symbiotic organisms search (SOS) is a promising metaheuristic algorithm that has been studied recently by numerous researchers due to its capability to solve various hard and complex optimization problems.
Doddy Prayogo +6 more
doaj +1 more source
Fast interior point solution of quadratic programming problems arising from PDE-constrained optimization [PDF]
, 2017 Interior point methods provide an attractive class of approaches for solving linear, quadratic and nonlinear programming problems, due to their excellent efficiency and wide applicability.
Gondzio, Jacek +4 more
core +1 more source
Harris Hawks Optimization for Optimum Design of Truss Structures with Discrete Variables [PDF]
International Journal of Mathematical, Engineering and Management Sciences, 2021 This article investigates the use of Harris Hawks Optimization (HHO) to solve planar and spatial trusses with design variables that are discrete. The original HHO has been used to solve continuous design variables problems.
Mustafa Al-Bazoon
doaj
Advances in Mechanical Engineering, 2013 Engineering optimization problems usually contain various constraints and mixed integer-discrete-continuous types of design variables. We propose an efficient particle swarm optimization (PSO) algorithm for such problems.
Semin Chun +2 more
doaj +1 more source
Discrete Particle Swarm Optimization for the minimum labelling Steiner tree problem
, 2008 Particle Swarm Optimization is an evolutionary method inspired by the social behaviour of individuals inside swarms in nature. Solutions of the problem are modelled as members of the swarm which fly in the solution space.
N. Mladenović +8 more
core +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Cognitive impairment is a common non‐motor symptom in Multiple Sclerosis (MS), negatively affecting autonomy and Quality of Life (QoL). Innovative rehabilitation strategies, such as semi‐immersive virtual reality (VR) and computerized cognitive training (CCT), may offer advantages over traditional cognitive rehabilitation (TCR ...
Maria Grazia Maggio +8 more
wiley +1 more source
Optimum Structural Design with Discrete Variables Using League Championship Algorithm [PDF]
Civil Engineering Infrastructures Journal, 2018 In this paper a league championship algorithm (LCA) is developed for structural optimization where the optimization variables are of discrete type and the set of the values possibly obtained by each variable is also given.
Ali Husseinzadeh Kashan +2 more
doaj +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective We aim to comprehensively analyze how regional tumor and edema characteristics are associated with clinical presentations and survival outcomes in a large cohort of glioblastoma patients. Methods Patients with IDH‐wildtype glioblastoma who received brain MRI from 2010 to 2023 were included.
Daniel J. Zhou +16 more
wiley +1 more source