Programming Autonomic Systems with Multiple Constraint Stores

2015 ◽  
pp. 641-661 ◽  
Author(s):  
Ugo Montanari ◽  
Rosario Pugliese ◽  
Francesco Tiezzi
Keyword(s):  
Autonomic Systems ◽  
Multiple Constraint

Effect of Social Norm on Consumer Demand: Multiple Constraint Approach

2020 ◽  
Vol 22 (1) ◽  
pp. 41-60
Author(s):  
Sungjee Choi ◽  
Inwoo Nam ◽  
Jaehwan Kim
Keyword(s):  
Social Norm ◽  
Consumer Demand ◽  
Multiple Constraint ◽  
Constraint Approach

Computational issues for two multiple constraint stiffness matrix adjustment methods

1995 ◽  
Author(s):  
Kyle Dippery ◽  
Suzanne Smith ◽  
Zhaojun Bai
Keyword(s):  
Stiffness Matrix ◽  
Multiple Constraint

scholarly journals ACO with Intuitionistic Fuzzy Pheromone Updating Applied on Multiple-Constraint Knapsack Problem

Mathematics ◽  
2021 ◽  
Vol 9 (13) ◽  
pp. 1456
Author(s):  
Stefka Fidanova ◽  
Krassimir Todorov Atanassov
Keyword(s):  
Decision Making ◽  
Knapsack Problem ◽  
Propositional Logic ◽  
Optimization Problems ◽  
Real Life ◽  
Combinatorial Optimization Problems ◽  
Intuitionistic Fuzzy ◽  
Life Problems ◽  
Multiple Constraint

Some of industrial and real life problems are difficult to be solved by traditional methods, because they need exponential number of calculations. As an example, we can mention decision-making problems. They can be defined as optimization problems. Ant Colony Optimization (ACO) is between the best methods, that solves combinatorial optimization problems. The method mimics behavior of the ants in the nature, when they look for a food. One of the algorithm parameters is called pheromone, and it is updated every iteration according quality of the achieved solutions. The intuitionistic fuzzy (propositional) logic was introduced as an extension of Zadeh’s fuzzy logic. In it, each proposition is estimated by two values: degree of validity and degree of non-validity. In this paper, we propose two variants of intuitionistic fuzzy pheromone updating. We apply our ideas on Multiple-Constraint Knapsack Problem (MKP) and compare achieved results with traditional ACO.

Autonomic Systems

2009 ◽  
pp. 173-186
Author(s):  
Walt Truszkowski ◽  
Harold L. Hallock ◽  
Christopher Rouff ◽  
Jay Karlin ◽  
James Rash ◽  
...  
Keyword(s):  
Autonomic Systems
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