[PDF][PDF] Using heuristic and branch and bound methods to solve a multi-criteria machine scheduling problem
In this paper, we investigate some methods to solve one of the multi-criteria machine
scheduling problems. The discussed problem is the total completion time and the total …
scheduling problems. The discussed problem is the total completion time and the total …
[PDF][PDF] Minimizing the total completion time and total earliness time functions for a machine scheduling problem using local search methods
In this paper we investigate the use of two types of local search methods (LSM), the
Simulated Annealing (SA) and Particle Swarm Optimization (PSO), to solve the problems() …
Simulated Annealing (SA) and Particle Swarm Optimization (PSO), to solve the problems() …
[PDF][PDF] Traffic light controller module based on particle swarm optimization (PSO)
EIA Kareem, AI Mejbel - American Journal of Artificial Intelligence, 2018 - academia.edu
A traffic light control module base on PSO algorithm has been presented to find the optimal
set of adjacent streets that are the candidate to take the green period time providing the best …
set of adjacent streets that are the candidate to take the green period time providing the best …
[PDF][PDF] Solving Bi-Criteria and Bi-Objectives of Total Tardiness Jobs Times and Range of Lateness Problems Using New Techniques
The Machine Scheduling Problem (MSP) has a number of recognized exact and
approximation solution methods: Branch and Bound (BAB) method, Dynamic Programming …
approximation solution methods: Branch and Bound (BAB) method, Dynamic Programming …
[PDF][PDF] Efficient algorithms to solve tricriteria machine scheduling problem
The multicriteria single machine model is presented in this paper. We consider the machine
scheduling problem (MSP) of n jobs on a single machine minimize a function of tricriteria …
scheduling problem (MSP) of n jobs on a single machine minimize a function of tricriteria …
Use of a new approach to automated break transposition cipher system
AK Shibeeb, MH Ahmed - IOP Conference Series: Materials …, 2019 - iopscience.iop.org
Particle swarm optimization (PSO) based cryptanalysis has acquired much attention
because it has a fast convergence rate. This paper investigates the use of a new approach …
because it has a fast convergence rate. This paper investigates the use of a new approach …
[PDF][PDF] New Improved Heuristic Method for Solving Travelling Salesman Problem
In this paper we will investigate some Heuristic methods to solve travelling salesman
problem. The discussed methods are Minimizing Distance Method (MDM), Branch and …
problem. The discussed methods are Minimizing Distance Method (MDM), Branch and …
Branch and Bound and Heuristic Methods for Solving Multi-Objective Function for Machine Scheduling Problems
HA Chachan, FH Ali, MH Ibrahim - 2020 6th International …, 2020 - ieeexplore.ieee.org
In this paper, we suggest a multi-objective Machine Scheduling Problem (MSP). The
discussed problem is the sum of total completion time, total tardiness, total earliness time …
discussed problem is the sum of total completion time, total tardiness, total earliness time …
The heuristic and metahuristic methods to minimize the total completion and total tardiness jobs times problem
FH Ali, WA Hussein - International Journal of Nonlinear Analysis …, 2022 - ijnaa.semnan.ac.ir
In this paper, we found some methods for solving one of the bicriteria machine scheduling
problems (BMSP). Our discussed problem is represented by the total completion and the …
problems (BMSP). Our discussed problem is represented by the total completion and the …
[PDF][PDF] use of MPSO to break transposition cipher system
Particle swarm optimization (PSO) based cryptanalysis has acquired much attention
because it has fast convergence rate. We investigate the use of Modify Particle Swarm …
because it has fast convergence rate. We investigate the use of Modify Particle Swarm …