[PDF] Top 20 A Simulated Annealing Algorithm for Single Machine Scheduling Problem with Release Dates, Learning and Deteriorating Effects
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A Simulated Annealing Algorithm for Single Machine Scheduling Problem with Release Dates, Learning and Deteriorating Effects
... level and different quality ...flexible and reconfigurable in a short ...their learning ability should be ...the machine must be considered to cope with more realistic ...about ... See full document
3
Scheduling Problem with Human Energy Recovery Function under Nonlinear Time-dependent Deterioration
... Wu and Cheng[11] address that the actual processing time of a job is a decreasing function of the sum of processing times based learning or increasing function of the sum of processing times based ... See full document
7
Unrelated parallel machine scheduling problem: a cement industry case study
... the problem of scheduling unrelated parallel machines, with unequal release dates and machine eligibility constraints, to minimize the total flow time of the ...this ... See full document
126
A Heuristic Approach to the Disease Diagnose System Using Machine Learning Algorithms (An Expert Advisory System for EMU Bird’s Diseases)
... systems and lowering the time consumption of the farmers in going to veterinary doctors for the treatment, the proposed system provides a good interface for getting the relevant information suggested by the ... See full document
3
4 A Dynamical Ant Colony Optimization with Heuristics for Scheduling Jobs on a Single Machine with a Common Due Date
... cooperatively and interactively visit next states by choosing from feasible neighbor ...trails and heuristic ...solutions and find near-optimal solutions for the optimization ...evaporation ... See full document
14
No-wait Flowshop Scheduling Using Genetic Algorithm
... Genetic algorithm is a bio-inspired method that is applicable in continuous as well as discrete optimization and has shown excellent performance in various scheduling ...population and each ... See full document
4
A Fast Heuristic for a Lot Splitting and Scheduling Problem of a Textile Industry
... Yalaoui and Chu (2003) and Tahar et ...heuristic algorithm for the identical parallel machine scheduling problem with job splitting and with sequence ... See full document
6
A Bias Random Key Genetic Algorithm for a AGV Scheduling Problem
... In this context, each possible solution represents different scheduling orders for the ten mis- sions at hand. These missions are performed by ten AGVs as well so that each one of them has only one mission ... See full document
48
EXTRUSION DIE PROFILE DESIGN USING SIMULATED ANNEALING ALGORITHM AND PARTICLE SWARM OPTIMIZATION
... A simple approach for determining die pressure is to use slab analysis to account for friction on extruding through conical die. Hill [1] has performed this analysis for coulomb sliding friction. While this analysis ... See full document
4
A Constructive hybrid genetic algorithm for the flowshop scheduling problem
... PC-Asus with a clock of 1,8 GHz and 256 Mbytes of RAM and the source program is in ANSI ...1 and 2 presents the mean deviation and CPU time of algorithms HCGA, PAL, CDS, SA, ...90 ... See full document
5
Abstract: This work presents an algorithm for solving exactly a scheduling problem with identical
... an algorithm for solving exactly a scheduling problem with identical parallel machines and malleable tasks, subject to arbitrary release dates and due ...work ... See full document
6
Solving Public Transit Scheduling Problems
... vehicle scheduling, crew scheduling and rostering ...vehicle-crew-rostering problem is ...multi-objective problem is a sequential algorithm considered within a preemptive goal ... See full document
32
A study of simulated annealing variants
... ASA and ASALO. When we compare the number of accepted points, ASA, SALO and ASALO variants have similar ...the problem has more than one global optimum, SSA and CSA were able to recognize more ... See full document
16
Forecasting Stock Markets Using Machine Learning
... Prever mercados financeiros ´e uma tarefa de extrema dificuldade. Os fatores que influenciam os pre¸cos de ac¸c˜oes s˜ao de natureza complexa e de dif´ıcil modeliza¸c˜ao. Algoritmos baseados em aprendizagem autom´atica ... See full document
58
AO DO ALGORITMO SIMULATED ANNEALING EM PROBLEMAS DE OTIMIZAC ¸ ˜ AO
... Resumo: Este trabalho tem um car´ ater bastante introdut´ orio. N˜ ao sendo de interesse um es- tudo profundo a cerca dos itens que ser˜ ao mencionados. Os objetivos principais giram em torno de apresentar os detalhes b´ ... See full document
6
EngOpt2010_Pereira_Fernandes.pdf
... optimization problem we aim to find all the global solutions of a constrained nonlinear programming problem where the objective function is ...important and frequently encountered in engineering ... See full document
9
A new IPSO-SA approach for cardinality constrained portfolio optimization
... PSO and GA which was applied to portfolio selection, Xu et al. (2007) and Gao and Chu (2010) proposed improved PSO algorithms for portfolio problem with transaction costs and ... See full document
14
Classification Of Complex UCI Datasets Using Machine Learning And Evolutionary Algorithms
... regression and feature selection these standard data mining tasks are supported by ...Classify and Select Attribute tab in Weka Explorer is used for the classification after feature selection ... See full document
10
Optimal Load Dispatch Using Ant Lion Optimization
... larvae and the adulthood period is for ...path and throwing out sands with its massive ...cone and waits for insects (preferably ant) to be trapped in the ... See full document
10
Channel Decision in Cognitive Radio Enabled Sensor Networks: A Reinforcement Learning Approach
... interference problem, [7] proposed a systematic framework to produce conflict graphs based on physical interference ...system with one SU accessing multiple channels using periodic sensing and ... See full document
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