CAFO: Cost aware flip optimization for asymmetric memories
R Maddah, SM Seyedzadeh… - 2015 IEEE 21st …, 2015 - ieeexplore.ieee.org
Phase Change Memory (PCM) and spin-transfer torque random access memory (STT-RAM)
are emerging as new memory technologies to replace DRAM and NAND flash that are …
are emerging as new memory technologies to replace DRAM and NAND flash that are …
Solving the manufacturing cell design problem through binary cat swarm optimization with dynamic mixture ratios
R Soto, B Crawford, A Aste Toledo… - Computational …, 2019 - Wiley Online Library
In this research, we present a Binary Cat Swarm Optimization for solving the Manufacturing
Cell Design Problem (MCDP). This problem divides an industrial production plant into a …
Cell Design Problem (MCDP). This problem divides an industrial production plant into a …
Problem specific variable selection rules for constraint programming: a type ii mixed model assembly line balancing problem case
The main idea of constraint programming (CP) is to determine a solution (or solutions) of a
problem assigning values to decision variables satisfying all constraints. Two sub …
problem assigning values to decision variables satisfying all constraints. Two sub …
Cellular manufacturing system design using grouping efficacy-based genetic algorithm
CR Shiyas, V Madhusudanan Pillai - International Journal of …, 2014 - Taylor & Francis
This paper presents an algorithm for the design of manufacturing cells and part families. This
algorithm is suitable for arriving at a good block diagonal structure for a cellular …
algorithm is suitable for arriving at a good block diagonal structure for a cellular …
Online control of enumeration strategies via bat algorithm and black hole optimization
Constraint programming is an efficient and powerful paradigm for solving constraint
satisfaction and optimization problems. Under this paradigm, problems are modeled as a …
satisfaction and optimization problems. Under this paradigm, problems are modeled as a …
A migrating birds optimization algorithm for machine-part cell formation problems
R Soto, B Crawford, B Almonacid, F Paredes - Advances in Artificial …, 2015 - Springer
Abstract Machine-Part Cell Formation Problems consists in organizing a plant as a set of
cells, each one of them processing machines containing the same type of parts. In recent …
cells, each one of them processing machines containing the same type of parts. In recent …
Andean Condor Algorithm for cell formation problems
B Almonacid, R Soto - Natural Computing, 2019 - Springer
This paper proposes a novel population based optimization algorithm called Andean
Condor Algorithm (ACA) for solving cell formation problems. The ACA metaheuristic is …
Condor Algorithm (ACA) for solving cell formation problems. The ACA metaheuristic is …
Efficient Parallel Sorting for Migrating Birds Optimization When Solving Machine‐Part Cell Formation Problems
R Soto, B Crawford, B Almonacid… - Scientific …, 2016 - Wiley Online Library
The Machine‐Part Cell Formation Problem (MPCFP) is a NP‐Hard optimization problem that
consists in grouping machines and parts in a set of cells, so that each cell can operate …
consists in grouping machines and parts in a set of cells, so that each cell can operate …
Solving the manufacturing cell design problem using human behavior-based algorithm supported by autonomous search
The manufacturing Cell Design Problem (MCDP) is a classical optimization problem that
finds application in lines of manufacture. The problem consist in distributing machines in …
finds application in lines of manufacture. The problem consist in distributing machines in …
Solving manufacturing cell design problems by using a dolphin echolocation algorithm
Abstract The Manufacturing Cell Design is a problem that consist in organize machines in
cells to increase productivity, ie, minimize the movement of parts for a given product …
cells to increase productivity, ie, minimize the movement of parts for a given product …