F.2.7. Optimization
Optimized Design of Nanohole Array-Based Plasmonic Color Filters Integrating Genetic Algorithm with FDTD Solutions

F. Fouladi Mahani; A. Mahanipour; A. Mokhtari

Volume 7, Issue 2 , April 2019, , Pages 279-286

https://doi.org/10.22044/jadm.2018.6435.1757

Abstract
  Recently, significant interest has been attracted by the potential use of aluminum nanostructures as plasmonic color filters to be great alternatives to the commercial color filters based on dye films or pigments. These color filters offer potential applications in LCDs, LEDs, color printing, CMOS image ...  Read More

F.2.7. Optimization
A Combined Metaheuristic Algorithm for the Vehicle Routing Problem and its Open Version

M. YousefiKhoshbakht; N. Mahmoodi Darani

Volume 7, Issue 1 , January 2019, , Pages 169-179

https://doi.org/10.22044/jadm.2018.7116.1840

Abstract
  Abstract: The Open Vehicle Routing Problem (OVRP) is one of the most important extensions of the vehicle routing problem (VRP) that has many applications in industrial and service. In the VRP, a set of customers with a specified demand of goods are given and a depot where a fleet of identical capacitated ...  Read More

F.2.7. Optimization
Non-linear Fractional-Order Chaotic Systems Identification with Approximated Fractional-Order Derivative based on a Hybrid Particle Swarm Optimization-Genetic Algorithm Method

M. Kosari; M. Teshnehlab

Volume 6, Issue 2 , July 2018, , Pages 365-373

https://doi.org/10.22044/jadm.2017.4670.1553

Abstract
  Although many mathematicians have searched on the fractional calculus since many years ago, but its application in engineering, especially in modeling and control, does not have many antecedents. Since there are much freedom in choosing the order of differentiator and integrator in fractional calculus, ...  Read More

F.2.7. Optimization
A Hybrid Meta-Heuristic Algorithm based on Imperialist Competition Algorithm

R. Roustaei; F. Yousefi Fakhr

Volume 6, Issue 1 , March 2018, , Pages 59-67

https://doi.org/10.22044/jadm.2016.823

Abstract
  The human has always been to find the best in all things. This Perfectionism has led to the creation of optimization methods. The goal of optimization is to determine the variables and find the best acceptable answer Due to the limitations of the problem, So that the objective function is minimum or ...  Read More

F.2.7. Optimization
Chaotic Genetic Algorithm based on Explicit Memory with a new Strategy for Updating and Retrieval of Memory in Dynamic Environments

M. Mohammadpour; H. Parvin; M. Sina

Volume 6, Issue 1 , March 2018, , Pages 191-205

https://doi.org/10.22044/jadm.2017.957

Abstract
  Many of the problems considered in optimization and learning assume that solutions exist in a dynamic. Hence, algorithms are required that dynamically adapt with the problem’s conditions and search new conditions. Mostly, utilization of information from the past allows to quickly adapting changes ...  Read More

F.2.7. Optimization
A Gravitational Search Algorithm-Based Single-Center of Mass Flocking Control for Tracking Single and Multiple Dynamic Targets for Parabolic Trajectories in Mobile Sensor Networks

E. Khodayari; V. Sattari-Naeini; M. Mirhosseini

Volume 6, Issue 1 , March 2018, , Pages 207-217

https://doi.org/10.22044/jadm.2017.959

Abstract
  Developing optimal flocking control procedure is an essential problem in mobile sensor networks (MSNs). Furthermore, finding the parameters such that the sensors can reach to the target in an appropriate time is an important issue. This paper offers an optimization approach based on metaheuristic methods ...  Read More

F.2.7. Optimization
Optimization of fuzzy membership functions via PSO and GA with application to quad rotor

B. Safaee; S. K. Kamaleddin Mousavi Mashhadi

Volume 5, Issue 1 , March 2017, , Pages 1-10

https://doi.org/10.22044/jadm.2016.747

Abstract
  Quad rotor is a renowned underactuated Unmanned Aerial Vehicle (UAV) with widespread military and civilian applications. Despite its simple structure, the vehicle suffers from inherent instability. Therefore, control designers always face formidable challenge in stabilization and control goal. In this ...  Read More

F.2.7. Optimization
Estimation of parameters of metal-oxide surge arrester models using Big Bang-Big Crunch and Hybrid Big Bang-Big Crunch algorithms

M.M Abravesh; A Sheikholeslami; H. Abravesh; M. Yazdani asrami

Volume 4, Issue 2 , July 2016, , Pages 235-241

https://doi.org/10.5829/idosi.JAIDM.2016.04.02.12

Abstract
  Metal oxide surge arrester accurate modeling and its parameter identification are very important for insulation coordination studies, arrester allocation and system reliability. Since quality and reliability of lightning performance studies can be improved with the more efficient representation of the ...  Read More

F.2.7. Optimization
Applications of two new algorithms of cuckoo optimization (CO) and forest optimization (FO) for solving single row facility layout problem (SRFLP)

M. Maadi; M. Javidnia; M. Ghasemi

Volume 4, Issue 1 , March 2016, , Pages 35-48

https://doi.org/10.5829/idosi.JAIDM.2016.04.01.05

Abstract
  Nowadays, due to inherent complexity of real optimization problems, it has always been a challenging issue to develop a solution algorithm to these problems. Single row facility layout problem (SRFLP) is a NP-hard problem of arranging a number of rectangular facilities with varying length on one side ...  Read More

F.2.7. Optimization
Optimal adaptive leader-follower consensus of linear multi-agent systems: Known and unknown dynamics

F. Tatari; M. B. Naghibi-Sistani

Volume 3, Issue 1 , March 2015, , Pages 101-111

https://doi.org/10.5829/idosi.JAIDM.2015.03.01.11

Abstract
  In this paper, the optimal adaptive leader-follower consensus of linear continuous time multi-agent systems is considered. The error dynamics of each player depends on its neighbors’ information. Detailed analysis of online optimal leader-follower consensus under known and unknown dynamics is presented. ...  Read More