Results 111 to 120 of about 52,409 (312)
Intelligent discrete particle swarm optimization for multiprocessor task scheduling problem
Journal of Algorithms & Computational Technology, 2017 Discrete particle swarm optimization is one of the most recently developed population-based meta-heuristic optimization algorithm in swarm intelligence that can be used in any discrete optimization problems.
S Sarathambekai, K Umamaheswari
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Discrete optimization problems with random cost elements
In a general class of discrete optimization problems, some of the elements mayhave random costs associated with them. In such a situation, the notion of optimalityneeds to be suitably modified.
Das, S., Ghosh, D.
core
, 2009 Within the next few years, numerical shape optimization based on high fidelity methods is likely to play a strategic role in future aircraft design. In this context, suitable tools have to be developed for solving aerodynamic shape optimization problems,
Dwight, Richard P. +5 more
core
Recent Advances of Slip Sensors for Smart Robotics
Advanced Materials Technologies, EarlyView.This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang +8 more
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Jixie chuandong, 2017 According to the equivalent mapping relation of decision variables,the constrained discrete optimization problems for gear transmission design are transformed into nonlinear constrained non- negative integer programming problems（ CNIPPs） and a discrete ...
Che Linxian, Yi Jian, He Bing
doaj
Discrete-continuous analysis of optimal equipment replacement [PDF]
In Operations Research, the equipment replacement process is usually modeled in discrete time. The optimal replacement strategies are found from discrete (or integer) programming problems, well known for their analytic and computational complexity.
YATSENKO, Yuri, HRITONENKO, Natali
core
Advanced Materials Technologies, EarlyView.We introduce an additively manufactured bioreactor with a perfusion flow system and integrated temperature and pH sensors for skeletal muscle tissue biofabrication. The bioreactor's performance was evaluated by assessing the viability, spreading of the myoblast cells in a printed scaffold, and contraction of the isolated murine musculi interossei ...
Lys Sprenger +9 more
wiley +1 more source
Distributed optimization algorithm for multi-agent optimization problems using consensus control
Journal of Advanced Mechanical Design, Systems, and ManufacturingThe distributed optimization algorithms using consensus control are proposed for solving multi-agent optimization problems. The multi-agent optimization problem has discrete and continuous decision variables to minimize the sum of local cost functions ...
Tatsushi NISHI, Naoto DEBUCHI, Ziang LIU
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THe Use of the Box Step Method in Discrete Optimization [PDF]
The Boxstep method is used to maximize Lagrangean functions in the context of a branch-and-bound algorithm for the general discrete optimization problem.
Roy E. Marsten
core
Advanced Materials Technologies, EarlyView.The study considers the use of polymer/dielectric‐based multilayers piezoelectric Energy Harvesters (EH) to produce an output voltage and current, by exploiting the mechanical energy provided by human organs movements. In particular, the heart motion is considered from the kinematic viewpoint, and a multiphysics theoretical model is developed to assess
Hamdi Ezzin +5 more
wiley +1 more source