Multi-objective simulated annealing
An Archived Multi Objective Simulated Annealing Method to Discover Biclusters in Microarray Data
... A multi objective model is very suitable for solving this ...on multi objective Simulated Annealing for discovering biclusters in gene expression ...
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A simulated annealing based genetic local search algorithm for multi objective multicast routing problems
... the simulated annealing strategies and genetic local search, we develop the first multi-objective simulated annealing based genetic local search (MOSAGLS) algorithm to solve the ...
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Solving a multi-objective manufacturing cell scheduling problem with the consideration of warehouses using a simulated annealing based procedure Pages 1-16 Download PDF
... In this work, we have studied a particular case of the FSSP (Flow Shop Scheduling Problem). This problem takes into account the material handling for the productive process considering both the supply of initial goods, ...
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A Comparison of Four Multi-Objective Meta-Heuristics for a Capacitated Location-Routing Problem
... The simulated annealing (SA) algorithm is a well-known meta-heuristic algorithm for finding the optimal or near-optimal solution of a given function in a large search ...the multi-objective ...
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Solving a discrete congested multi-objective location problem by hybrid simulated annealing with customer’s perspective
... uses multi-objective set covering ...the objective of covering all customers with a minimum number of ...three objective functions, namely minimizing the total number of the assigned server, ...
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Multi-criteria sequence-dependent single machine scheduling using genetic and simulated annealing algorithms
... a simulated annealing [10], a GRASP [11], an ant colonies optimization [12] and [13] and a Tabu/VNS ...the objective to minimize makespan, total tardiness and total earliness of the ...
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Determining Optimum Production Quantity on Multi-Product Home Textile Industry by Simulated Annealing
... the Simulated Annealing algorithm, among others: the state of the system, energy, temperature and cooling rate ...large objective function of a combination of system conditions or can also be called ...
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GRID Scheduling algorithms: A survey
... Colony, Multi objective Evolutionary algorithms, Simulated Annealing, Taboo search and Genetic algorithms are discussed from different points of ...Algorithms, Simulated ...
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Optimal sampling for simulated annealing under noise
... the objective function is subject to ...on multi-objective optimization under noise the interested reader is referred to Alrefaei and Diabat (2009), Gutjahr (2005), Avello et ...
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Disease Prediction with Simulated Annealing
... Peter Szolovits et al [11] proposed an artificial Intelligence in medical diagnosis. In this paper several problems in creation of actual artificial intelligence programs have been resolved. The paper introduced the ...
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A new multi-mode and multi-product hub covering problem: A priority M/M/c queue approach
... a multi-product and multi-mode hub covering model, in which the transportation time depends on travelling mode between each pair of ...a multi-objective parallel simulated ...
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A List Simulated Annealing Algorithm for Task Scheduling on Network-on-Chip
... of multi-objective optimization methods for engineering," Structural and multidisciplinary optimization, ...for simulated annealing in multiprocessor task distri- bution problems," ...
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Generic Algorithm Implementation of Approximation Algorithm using Simulated Annealing (SA)
... Simulated Annealing (SA) is a general-purpose search procedure that generalizes iterative improvement approaches to combinatorial optimization by sometimes accepting transitions to lower quality solutions ...
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Tuning a Simulated Annealing metaheuristic for cross domain search
... In this paper, we investigated the plausibility of tuning a simulated annealing metaheuristic for cross-domain search. We showed that cross-domain parameter tuning then can be used to improve the ...
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Simulated annealing on uncorrelated energy landscapes
... However, even uncorrelated functions possess a certain combinatorial structure regarding optimization For instance, as pointed out in [3], fitter local maxima tend to have larger basins [r] ...
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Online Full Text
... for objective or fitness function of an optimization ...ulated Annealing (SA) [4] is a popular search algorithm, utilizes the principles of statistical mechanics ...
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Simulated Annealing in Multifactor Equity Portfolio Management
... model's objective function to maximize return divided by risk - the Sharpe ...a simulated annealing search and arbitrage pricing theorem to solve this global optimization ...
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A chaotic simulated annealing and particle swarm improved artificial immune algorithm for flexible job shop scheduling problem
... algorithm, simulated annealing, particle swarm optimization algorithm, ant colony algorithm, and firefly algorithm to solve the FJSP problem and obtained better results ...a multi-point ran- dom ...
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A Distributed Simulated Annealing framework for Engineering Optimization
... The simulated annealing process consists of a sequence of transitions from one solution (state) to another based on a ...Sequential Simulated Annealing (SSA) algorithm may be viewed as a ...
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Simulated Annealing Fuzzy Clustering in Cancer Diagnosis
... There are three possible explanations for this phenomenon. Firstly, the clinical analysis may not be correct – this could potentially be caused by the different types of cells in the tissue sample not being noticed by ...
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