A theoretical investigation of 38-atom CuPd clusters: the effect of potential parameterisation on structure and segregation

2021 ◽  
Author(s):  
Caitlin Amelia Casey-Stevens ◽  
Mingrui Yang ◽  
Geoffrey Robert Weal ◽  
Sam M McIntyre ◽  
Brianna K. Nally ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Theoretical Investigation ◽  
Bimetallic Clusters ◽  
Practical Applications

Understanding the structure of bimetallic clusters is increasingly important due to their emerging practical applications. Herein we investigate the structure of 38 atom CuPd clusters using a genetic algorithm with...

Theoretical investigation of Ramachandran plot of N-formyl-L-alanine-amide

2019 ◽  
Author(s):  
Chem Int
Keyword(s):  
Genetic Algorithm ◽  
Theoretical Investigation ◽  
Energy Analysis ◽  
Empirical Method ◽  
Conformational Space ◽  
Ramachandran Plot ◽  
Global Minima ◽  
Reasonable Time ◽  
Semi Empirical

The full conformational space of N-formyl-L-alanine-amide was explored by the semi-empirical method AM1 coupled to the Multi Niche Crowding (MNC) genetic algorithm implemented in a package of programs developed in our laboratory. The structural and energy analysis of the resulting conformational space E(,ψ) exhibits 5 regions or minima ɣL, ɣD, ɛL, D and αD. The technique provides better detection of local and global minima within a reasonable time.

Development of a direct NGM(1,1) prediction model based on interval grey numbers

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ye Li ◽  
Yuanping Ding ◽  
Yaqian Jing ◽  
Sandang Guo
Keyword(s):  
Genetic Algorithm ◽  
Markov Model ◽  
Prediction Model ◽  
Real Number ◽  
Content Type ◽  
Optimal Weight ◽  
Practical Applications ◽  
Number Sequences ◽  
Integral Development ◽  
Grey Number

PurposeThe purpose of this paper is to construct an interval grey number NGM(1,1) direct prediction model (abbreviated as IGNGM(1,1)), which need not transform interval grey numbers sequences into real number sequences, and the Markov model is used to optimize residual sequences of IGNGM(1,1) model.Design/methodology/approachA definition equation of IGNGM(1,1) model is proposed in this paper, and its time response function is solved by recursive iteration method. Next, the optimal weight of development coefficients of two boundaries is obtained by genetic algorithm, which is designed by minimizing the average relative error based on time weighted. In addition to that, the Markov model is used to modify residual sequences.FindingsThe interval grey numbers’ sequences can be predicted directly by IGNGM(1,1) model and its residual sequences can be amended by Markov model. A case study shows that the proposed model has higher accuracy in prediction.Practical implicationsUncertainty and volatility information is widespread in practical applications, and the information can be characterized by interval grey numbers. In this paper, an interval grey numbers direct prediction model is proposed, which provides a method for predicting the uncertainty information in the real world.Originality/valueThe main contribution of this paper is to propose an IGNGM(1,1) model which can realize interval grey numbers prediction without transforming them into real number and solve the optimal weight of integral development coefficient by genetic algorithm so as to avoid the distortion of prediction results. Moreover, the Markov model is used to modify residual sequences to further improve the modeling accuracy.

scholarly journals Genetic Algorithm Optimization for Determining Fuzzy Measures from Fuzzy Data

2013 ◽  
Vol 2013 ◽  
pp. 1-11 ◽  
Author(s):  
Chen Li ◽  
Gong Zeng-tai ◽  
Duan Gang
Keyword(s):  
Genetic Algorithm ◽  
Genetic Algorithms ◽  
Real Data ◽  
Difficult Problem ◽  
Particle Swarm Algorithm ◽  
Fuzzy Data ◽  
Algorithm Optimization ◽  
Practical Applications ◽  
Fuzzy Measures ◽  
Choquet Integrals

Fuzzy measures and fuzzy integrals have been successfully used in many real applications. How to determine fuzzy measures is a very difficult problem in these applications. Though there have existed some methodologies for solving this problem, such as genetic algorithms, gradient descent algorithms, neural networks, and particle swarm algorithm, it is hard to say which one is more appropriate and more feasible. Each method has its advantages. Most of the existed works can only deal with the data consisting of classic numbers which may arise limitations in practical applications. It is not reasonable to assume that all data are real data before we elicit them from practical data. Sometimes, fuzzy data may exist, such as in pharmacological, financial and sociological applications. Thus, we make an attempt to determine a more generalized type of general fuzzy measures from fuzzy data by means of genetic algorithms and Choquet integrals. In this paper, we make the first effort to define theσ-λrules. Furthermore we define and characterize the Choquet integrals of interval-valued functions and fuzzy-number-valued functions based onσ-λrules. In addition, we design a special genetic algorithm to determine a type of general fuzzy measures from fuzzy data.

scholarly journals Investigation and Optimization of Grounding Grid Based on Lightning Response by Using ATP-EMTP and Genetic Algorithm

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-8 ◽  
Author(s):  
Saeid Gholami Farkoush ◽  
Tahir Khurshaid ◽  
Abdul Wadood ◽  
Chang-Hwan Kim ◽  
Kumail Hassan Kharal ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Power System ◽  
Short Circuit ◽  
Mesh Size ◽  
Grounding System ◽  
Practical Applications ◽  
System A ◽  
Grounding Grid ◽  
Soil Ionization ◽  
Optimized Conditions

A large number of electromagnetic transient studies have been analyzed for finding the overvoltage behavior of power system. A grounding grid of power system is so important for reducing the effect of overvoltage phenomena during a short-circuit event. Two sections are important in grounding system behavior: soil ionization and inductive behavior; this paper focuses on the inductive manner of grounding grid. The grounding grid is considered as a conductor segment; each conductor segment acts as a grounding unit. In this paper, the transient methodology is introduced to investigate the lightning effect on grounding body at each point of grounding grid in normal and optimized conditions. Genetic algorithm is applied for regular and irregular grounding grid to obtain best values of mesh size with the lower ground potential rise (GPR) as compared with the normal condition for more safety. The grounding grid is a combination of inductance, resistance, and capacitance. This model is suitable for practical applications related to fault diagnosis. Several voltages on different positions of grounding grid are described in this paper using ATP-EMTP and genetic algorithm. The computer simulation shows that the proposed scheme is highly feasible and technically attractive.

Comparison of Artificial Intelligence-Based Solutions Applied to Economic Load Dispatch Problem

2020 ◽  
pp. 210-229
Author(s):  
Sarika Shrivastava ◽  
Piush Kumar
Keyword(s):  
Artificial Intelligence ◽  
Genetic Algorithm ◽  
Power Systems ◽  
Minimum Cost ◽  
Electric Power System ◽  
Optimization Techniques ◽  
Economic Load Dispatch ◽  
Practical Applications ◽  
Soft Computing Techniques ◽  
Loss Coefficients

The electric power system network is rapidly becoming more and more complex to meet energy requirements. With the development of integrated power systems, it becomes all the more necessary to operate the plant units most economically. More recently, soft computing techniques have received more attention and have been used in a number of successful and practical applications. In the chapter, artificial intelligence-based modern optimization techniques, the genetic algorithm (GA), particle swarm optimization (PSO), and differential evolution (DE), are used to solve the economic load dispatch related problems. In the chapter, the minimum cost is computed by adopting the genetic algorithm, PSO, and DE using the data from 15 generating units. Data has been taken from the published works containing loss coefficients are also given with the maximum-minimum power limits and cost function. All the techniques are implemented in MATLAB environment. Comparing the results obtained from GA, DE, and PSO-based method, better convergence was found in the PSO-based approach.

scholarly journals GORTS: genetic algorithm based on one-by-one revision of two sides for dynamic travelling salesman problems

2019 ◽  
Vol 24 (10) ◽  
pp. 7197-7210
Author(s):  
Xiaolong Xu ◽  
Hao Yuan ◽  
Peter Matthew ◽  
Jeffrey Ray ◽  
Ovidiu Bagdasar ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Heuristic Algorithms ◽  
Travelling Salesman Problem ◽  
Natural Extension ◽  
Optimal Solution ◽  
Traffic Information ◽  
Travelling Salesman ◽  
Practical Applications ◽  
Real Time Traffic ◽  
Two Sides

Abstract The dynamic travelling salesman problem (DTSP) is a natural extension of the standard travelling salesman problem, and it has attracted significant interest in recent years due to is practical applications. In this article, we propose an efficient solution for DTSP, based on a genetic algorithm (GA), and on the one-by-one revision of two sides (GORTS). More specifically, GORTS combines the global search ability of GA with the fast convergence feature of the method of one-by-one revision of two sides, in order to find the optimal solution in a short time. An experimental platform was designed to evaluate the performance of GORTS with TSPLIB. The experimental results show that the efficiency of GORTS compares favourably against other popular heuristic algorithms for DTSP. In particular, a prototype logistics system based on GORTS for a supermarket with an online map was designed and implemented. It was shown that this can provide optimised goods distribution routes for delivery staff, while considering real-time traffic information.

THE ACQUISITION OF JAPANESE AS A SECOND LANGUAGE.Kazue Kanno (Ed.). Amsterdam: Benjamins, 1999. Pp. xi + 181. $72.00 cloth.

2003 ◽  
Vol 25 (4) ◽  
pp. 587-588
Author(s):  
Shinichi Izumi
Keyword(s):  
Second Language ◽  
Language Acquisition ◽  
Theoretical Investigation ◽  
Language Teaching ◽  
Language Disorders ◽  
Linguistic Features ◽  
Practical Applications ◽  
European Languages ◽  
Language Universals

This volume, focusing on Japanese as a second language (JSL), is part of the Language acquisition and language disorders series by Benjamins. As the editor points out in the introductory chapter, there is a pressing need to investigate the acquisition of languages other than English and other European languages if SLA claims to be a discipline broad enough to encompass acquisition of any second language (L2). In particular, given the importance of Japanese as one of the most commonly studied languages in Asia and the fact that Japanese has many linguistic features not found in European languages, research on the acquisition of JSL should have important implications for both practical applications in language teaching and theoretical investigation of language universals, innate principles, and the like.

scholarly journals Combining a Genetic Algorithm and Simulated Annealing to Design a Fixed-Order MixedH2/H∞Deconvolution Filter with Missing Observations

2008 ◽  
Vol 2008 ◽  
pp. 1-10 ◽  
Author(s):  
Jui-Chung Hung
Keyword(s):  
Genetic Algorithm ◽  
Simulated Annealing ◽  
Filter Design ◽  
Signal Reconstruction ◽  
Design Procedure ◽  
New Combination ◽  
Missing Observations ◽  
Practical Applications ◽  
Channel Input ◽  
Fixed Order

We introduce a new combination approach to a fixed-order mixedH2/H∞deconvolution filter with missing observations. The missing observations model is based on a probabilistic structure with the probability of the occurrence of missing data modeled as the unknown prior. The aim of the mixedH2/H∞criterion is to achieveH2optimal reconstruction and subject theH∞norm constraint to the transfer function from the channel input to the filter error. For simplicity of implementation, the fixed-order model is interesting for engineers in signal processing and in practical applications. In this situation, the deconvolution filter design becomes a complicated nonlinear estimation problem. In this paper, we combine a genetic algorithm (GA) and simulated annealing (SA) to treat the signal reconstruction problem with missing observations. Finally, a numerical example is presented to illustrate the design procedure and confirm the robustness performance of the proposed method.

scholarly journals An efficient genetic algorithm for solving open multiple travelling salesman problem with load balancing constraint

2021 ◽  
Vol 10 (4) ◽  
pp. 525-534 ◽  
Author(s):  
Purusotham Singamsetty ◽  
Jayanth Kumar Thenepalle
Keyword(s):  
Genetic Algorithm ◽  
Load Balancing ◽  
Optimization Problems ◽  
Travelling Salesman Problem ◽  
Limited Attention ◽  
Travelling Salesman ◽  
Practical Applications ◽  
Combinatorial Optimization Problems ◽  
Comparative Results ◽  
Multiple Travelling Salesman Problem

The multiple travelling salesman problem (MTSP) is one of the widely studied combinatorial optimization problems with various theoretical and practical applications. However, most of the studies intended to deal with classical MTSP, very limited attention has been given to an open multiple travelling salesman problem and its variants. In this paper, an open multiple travelling salesman problem with load balancing constraint (OMTSPLB) is addressed. The OMTSPLB differs from the conventional MTSP, in which all the salesmen start from the central depot and need not come back to it after visiting the given number of cities by accomplishing the load balance constraint, which helps in fairly distributing the task among all salesmen. The problem aims to minimize the overall traversal distance/cost for operating open tours subject to the load balancing constraint. A zero-one integer linear programming (0-1 ILP) model and an efficient metaheuristic genetic algorithm (GA), is established for the OMTSPLB. Since no existing study on OMTSPLB, the proposed GA is tested on the relaxed version of the present model, comparative results are reported. The comparative results show that the proposed GA is competent over the existing algorithms. Furthermore, extensive experiments are carried out on OMTSPLB and the results show that proposed GA can find the global solution effectively.

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