Multi-objective ant colony optimization for requirements selection
J Del Sagrado, IM Del Águila, FJ Orellana - Empirical Software …, 2015 - Springer
The selection of a set of requirements between all the requirements previously defined by
customers is an important process, repeated at the beginning of each development step …
customers is an important process, repeated at the beginning of each development step …
Binary accelerated particle swarm algorithm (BAPSA) for discrete optimization problems
Abstract The majority of Combinatorial Optimization Problems (COPs) are defined in the
discrete space. Hence, proposing an efficient algorithm to solve the problems has become …
discrete space. Hence, proposing an efficient algorithm to solve the problems has become …
Using the multiple knapsack problem to model the problem of virtual machine allocation in cloud computing
SRM Amarante, FM Roberto… - 2013 IEEE 16th …, 2013 - ieeexplore.ieee.org
Cloud computing is a new computing paradigm which has the provision of computational
resources like services accessed over the internet. In this paradigm, computing resources …
resources like services accessed over the internet. In this paradigm, computing resources …
LRU-GENACO: A Hybrid Cached Data Optimization Based on the Least Used Method Improved Using Ant Colony and Genetic Algorithms
An optimization strategy for cached data offloading plays a crucial role in the edge network
environment. This strategy can improve the performance of edge nodes with limited cache …
environment. This strategy can improve the performance of edge nodes with limited cache …
Location optimization using a hierarchical location-allocation model for trauma centers in Shenzhen, China
Y Zhu, Q Du, F Tian, F Ren, S Liang… - … International Journal of …, 2016 - mdpi.com
Trauma is considered a “modern civilized sickness”, and its occurrence substantially affects
all of society, as well as individuals. The implementation of trauma emergency systems in …
all of society, as well as individuals. The implementation of trauma emergency systems in …
Improving Cached Data Offloading Optimization Based on Enhanced Hybrid Ant Colony Genetic Algorithm
The data offloading mechanism is one of the critical strategies needed on edge networks to
help cloud computing network performance in serving user data requests. This strategy …
help cloud computing network performance in serving user data requests. This strategy …
A hybrid guided neighborhood search for the disjunctively constrained knapsack problem
In this paper, we investigate the use of a hybrid guided neighborhood search for solving the
disjunctively constrained knapsack problem. The studied problem may be viewed as a …
disjunctively constrained knapsack problem. The studied problem may be viewed as a …
Essential particle swarm optimization queen with tabu search for MKP resolution
Abstract The Particle Swarm Optimization (PSO) algorithm is an innovative and promising
optimization technique in evolutionary computation. The Essential Particle Swarm …
optimization technique in evolutionary computation. The Essential Particle Swarm …
Scheduling shuttle ambulance vehicles for covid-19 quarantine cases, a multi-objective multiple 0–1 knapsack model with a novel discrete binary gaining-sharing …
The purpose of this paper is to present a proposal for scheduling shuttle ambulance vehicles
assigned to COVID-19 patients using one of the discrete optimization techniques, namely …
assigned to COVID-19 patients using one of the discrete optimization techniques, namely …
[PDF][PDF] A modified hybrid particle swarm optimization algorithm for multidimensional knapsack problem
In this paper, a modified hybrid Particle Swarm Optimization (MHPSO) algorithm that
combines some principles of Particle Swarm Optimization (PSO) and Crossover operation of …
combines some principles of Particle Swarm Optimization (PSO) and Crossover operation of …