Buscar
Mostrando ítems 1-10 de 3580
A particle swarm optimizer for multi-objective optimization
(Universidad Nacional de La Plata. Facultad de Informática, 2005-12)
This paper proposes a hybrid particle swarm approach called Simple Multi-Objective Particle Swarm Optimizer (SMOPSO) which incorporates Pareto dominance, an elitist policy, and two techniques to maintain diversity: a ...
First- and Second-Order Optimality Conditions for Optimal Control Problems of State Constrained Integral Equations
(Springer/Plenum Publishers, 2013-10)
This paper deals with optimal control problems of integral equations, with initial-final and running state constraints. The order of a running state constraint is defined in the setting of integral dynamics, and we work ...
Solving engineering optimization problems with the simple constrained particle swarm optimizer
(Slovenian Society Informatika, 2008-12)
This paper introduces a particle swarm optimization algorithm to solve constrained engineering optimization problems. The proposed approach uses a relatively simple method to handle constraints and a different mechanism ...
Accelerated particle swarm optimization with explicit consideration of model constraints
(Springer, 2020-03)
Population based metaheuristic can benefit from explicit parallelization in order to address complex numerical optimization problems. Typical realistic problems usually involve non-linear functions and many constraints, ...
A robust topological derivative-based multi-material optimization approach: Optimality condition and computational algorithm
(Elsevier Science SA, 2020-07-01)
Topology optimization is a technique in the engineering area that allows obtaining optimal designs of devices, mechanisms, complex structures and even design the microstructure of an auxetic material. Classically, the focus ...
Real-time optimization of load sharing for gas compressors in the presence of uncertainty
(Elsevier, 2020-08)
This paper investigates the problem of load-sharing optimization of gas compressors in the presence of uncertainty. The objective is to operate a set of compressor units in an energy-efficient way, while at the same time ...
Statistical Simplex Method for Experimental Design in Process Optimization
(American Chemical Society, 2005-11)
Experimental optimization with scarce and noisy process data is a key issue in laboratory automation for faster chemical process research and development, real-time process optimization, and the ability to embed a learning ...
A novel hybrid multi-objective metamodel-based evolutionary optimization algorithm
(Elsevier, 2019-01)
Optimization via Simulation (OvS) is an useful optimization tool to find a solution to an optimization problem that is difficult to model analytically. OvS consists in evaluating potential solutions through simulation ...
Explicit solutions for distributed, boundary and distributed-boundary elliptic optimal control problems
(Springer Verlag Berlín, 2020-10)
We consider a steady-state heat conduction problem in a multidimensional bounded domainfor the Poisson equation with constant internal energy g and mixed boundary conditions given by a constant temperature b in the portion ...
A new dual modifier-adaptation approach for iterative process optimization with inaccurate models
(Pergamon-Elsevier Science Ltd, 2013-12-05)
In order to deal with plant-model mismatch, iterative process optimization schemes use some adaptation strategy based on measurements. The modifier-adaptation approach consists in performing first-order corrections of the ...