Results 91 to 100 of about 34,283 (310)
Using simple simulated annealing with generic transformation to solve capacitated location routing problems [PDF]
Anali Ekonomskog fakulteta u Subotici, 2016 The paper introduces simplified Simulated Annealing algorithm with a generic transformation for solving capacitated location routing problems. Data used by Simulated Annealing such as depots, customers and vehicles are encoded into a circular list ...
Bala Karlo +2 more
doaj
Derivation of near-optimal pump schedules for water distribution by simulated annealing
, 2004 The scheduling of pumps for clean water distribution is a partially discrete non-linear problem with many variables. The scheduling method described in this paper typically produces costs within 1% of a linear program-based solution, and can incorporate ...
Powell, R S, McCormick, G
core
Bicriteria scheduling of a two-machine flowshop with sequence-dependent setup times
, 2009 The official published version of the article can be found at the link below.A two-machine flowshop scheduling problem is addressed to minimize setups and makespan where each job is characterized by a pair of attributes that entail setups on each machine.
Hendizadeh, SH, Mansouri, SA, Salmasi, N
core +1 more source
Advanced Materials, EarlyView.This study presents a compact dynamic‐field‐driven nucleation and growth (DFNG) model that captures ferroelectric switching behavior under arbitrary voltage waveforms. It enables extraction of time‐dependent domain wall velocity and growth dimensionality, which can then be extended to device‐level modeling.
Yi Liang +10 more
wiley +1 more source
Advanced Design for Weakly Coupled Resonators by Automatic Active Optimization
Advanced Materials Technologies, EarlyView.An Automatic Active Optimization (AAO) strategy integrates machine learning predictors and genetic algorithms in a closed‐loop workflow. By iteratively expanding its dataset with new discoveries, AAO overcomes the limits of conventional methods. This approach finds superior microstructural designs beyond the initial sample space. We demonstrate this on
Wei Yue +8 more
wiley +1 more source
Advanced Materials Technologies, EarlyView.This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane +4 more
wiley +1 more source
Proactive and Reactive Multi-Project Scheduling in Uncertain Environment
IEEE Access, 2019 In this paper, a proactive and reactive multi-project scheduling problem is addressed. This problem is related to the influences of uncertain factors, which leads to a deviation between actual scheduling and baseline scheduling, and a recovery strategy ...
Weixin Wang +3 more
doaj +1 more source
Advanced Materials Technologies, EarlyView.Aerosol Jet Printing (AJP) has emerged as a versatile additive manufacturing technique for high‐resolution, conformal, and multi‐material printing. This review highlights advances in printable materials, substrate compatibility, post‐processing, characterization, and process innovations, while critically discussing current challenges and future ...
Chandrachur Chatterjee +2 more
wiley +1 more source
, 2020 Harris Hawks Optimization (HHO) algorithm is a new metaheuristic algorithm, inspired by the cooperative behavior and chasing style of Harris’ Hawks in nature called surprise pounce.
Elgamal, Zenab Mohamed +4 more
core +1 more source
Enhanced genetic algorithm-based fuzzy multiobjective strategy to multiproduct batch plant design [PDF]
, 2009 This paper addresses the problem of the optimal design of batch plants with imprecise demands in product amounts. The design of such plants necessary involves how equipment may be utilized, which means that plant scheduling and production must constitute
Aguilar-Lasserre, Alberto +3 more
core +1 more source