Article
Computer Science, Artificial Intelligence
Zhiwen Cheng, Haohao Song, Jiquan Wang, Hongyu Zhang, Tiezhu Chang, Mingxin Zhang
Summary: The firefly algorithm simulates the mutual attraction and movement process of flashing fireflies, with different attraction models leading to different numbers of fitness comparisons and attractions. By introducing a new grouping attraction model and mutation operator, a better balance between exploration and exploitation capabilities can be achieved, improving the quality of solutions.
KNOWLEDGE-BASED SYSTEMS
(2021)
Article
Computer Science, Artificial Intelligence
Betul Sultan Yildiz, Sumit Kumar, Natee Panagant, Pranav Mehta, Sadiq M. Sait, Ali Riza Yildiz, Nantiwat Pholdee, Sujin Bureerat, Seyedali Mirjalili
Summary: The present study introduces a novel hybrid optimizer named AOA-NM (Arithmetic optimization-Nelder Mead) to optimize engineering design and manufacturing problems. By incorporating the Nelder-Mead local search methodology into the basic AOA framework, the study aims to overcome the local optima trap and improve solution quality. Numerical validation and comparative analysis with other metaheuristics demonstrate the efficacy and robustness of the proposed AOA-NM algorithm in handling challenging practical issues.
KNOWLEDGE-BASED SYSTEMS
(2023)
Article
Engineering, Multidisciplinary
Fatma A. Hashim, Ruba Abu Khurma, Dheeb Albashish, Mohamed Amin, Abdelazim G. Hussien
Summary: In this study, a hybrid optimizer called AOA-BSA is proposed to overcome the limitations of AOA by replacing its exploitation phase with a BSA exploitation one. The performance of the suggested algorithm is compared with 10 optimizers and it outperforms them across various functions. For engineering problems, AOABSA achieves competitive results compared with other algorithms regarding the values of the problem variables and convergence behavior.
ALEXANDRIA ENGINEERING JOURNAL
(2023)
Article
Computer Science, Artificial Intelligence
Xiao Yang, Rui Wang, Dong Zhao, Fanhua Yu, Chunyu Huang, Ali Asghar Heidari, Zhennao Cai, Sami Bourouis, Abeer D. Algarni, Huiling Chen
Summary: The sine cosine algorithm (SCA) is a well-known optimization algorithm that has gained attention for its simple structure and excellent optimization capabilities. To overcome the limitations of the original SCA, a modified variant called ARSCA is proposed, which incorporates adaptive quadratic interpolation mechanism and rounding mechanism. Experimental results demonstrate that ARSCA outperforms its competitors in terms of solution quality and ability to escape local optima.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Computer Science, Artificial Intelligence
Fangqing Gu, Haosen Liu, Yiu-ming Cheung, Hai -Lin Liu
Summary: This study proposes an adaptive constraint regulation method to balance the feasibility and convergence of solutions by adjusting the constraint violation of infeasible solutions. Experimental results demonstrate that the proposed method effectively achieves solution balance and improves solution diversity.
KNOWLEDGE-BASED SYSTEMS
(2023)
Article
Physics, Multidisciplinary
Mengjian Zhang, Deguang Wang, Jing Yang
Summary: This paper proposes a hybrid flash butterfly optimization algorithm (HFBOA) with an additional color perception rule, which better simulates the foraging characteristics of butterflies in nature. The strategy of updating control parameters improves the global optimal ability of the algorithm. Experimental results show that HFBOA performs better in numerical optimization problems and engineering constrained optimization problems.
Article
Computer Science, Interdisciplinary Applications
Satnam Kaur, Lalit K. Awasthi, A. L. Sangal
Summary: The proposed HMOSHSSA algorithm combines the strengths of MOSHO and SSA to effectively explore the search space and achieve faster convergence to the global best solution. Experimental results demonstrate its competitiveness and superiority in terms of convergence speed, search-ability, and accuracy, surpassing other algorithms. This algorithm also shows efficacy in solving real-life multi-objective optimization problems.
ENGINEERING WITH COMPUTERS
(2021)
Article
Computer Science, Interdisciplinary Applications
Xinning Li, Hu Wu, Qin Yang, Shuai Tan, Peng Xue, Xianhai Yang
Summary: The study proposed a multistrategy hybrid adaptive whale optimization algorithm (MHWOA) to address the issues with WOA. Through experiments and comparisons, it was found that MHWOA outperformed other algorithms in terms of convergence speed and optimization performance, showing promising applications.
JOURNAL OF COMPUTATIONAL DESIGN AND ENGINEERING
(2022)
Article
Computer Science, Interdisciplinary Applications
Xin-Rui Tao, Quan-Ke Pan, Liang Gao
Summary: The study proposes a self-adaptive artificial bee colony algorithm to solve distributed resource-constrained hybrid flowshop scheduling problems. Utilizing a two-dimensional vector solution representation, the algorithm also incorporates a self-adaptive perturbation structure and local search strategy to enhance its searching abilities.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Article
Computer Science, Information Systems
Mona Gamal Gafar, Ragab A. El-Sehiemy, Shahenda Sarhan
Summary: This paper introduces a hybrid fuzzy-crow framework for optimizing constrained and unconstrained engineering problems. The framework combines the advantages of fuzzy logic and crow search optimization, and achieves fast convergence to fine-tuned non-dominated optimized solutions by incorporating fuzzified objectives and constraints.
HUMAN-CENTRIC COMPUTING AND INFORMATION SCIENCES
(2022)
Article
Automation & Control Systems
Chunjiang Zhang, A. K. Qin, Weiming Shen, Liang Gao, Kay Chen Tan, Xinyu Li
Summary: This article proposes a new adaptive epsilon control method and incorporates it into a basic differential evolution algorithm to solve constrained optimization problems. Compared with traditional methods, the proposed adaptive method prevents the algorithm from being trapped in local optima and retains near-optimal solutions in the infeasible region.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2022)
Article
Multidisciplinary Sciences
Lijun Fan
Summary: As competition intensifies, more companies are outsourcing their package distribution operations to professional Third-Party Logistics (3PL) fleets, which have started using Electric Vehicles (EVs) for transportation. This paper addresses the Time-Dependent Open Electric Vehicle Routing Problem with Hybrid Energy Replenishment Strategies (TDOEVRP-HERS) in urban distribution. It considers the impact of dynamic urban transport networks on EV energy consumption and develops an approach to estimate energy usage. Additionally, the research proposes a mixed-integer programming model to minimize distribution costs for 3PL fleets and presents a hybrid adaptive large neighborhood search algorithm for solving the model.
Review
Construction & Building Technology
Hongyan Ding, Cunbo Zhuang, Jianhua Liu
Summary: The resource-constrained project scheduling problem (RCPSP) aims to minimize project makespan by scheduling activities subject to resource and precedence constraints. Although the standard RCPSP model has limitations in capturing practical engineering requirements, various extended models and competitive solutions have been developed. However, there is a lack of research on the extensions of RCPSP and corresponding optimization algorithms.
AUTOMATION IN CONSTRUCTION
(2023)
Article
Engineering, Multidisciplinary
Ashok Singh Bhandari, Akshay Kumar, Mangey Ram
Summary: Analysis and optimization of system reliability are important for developing an optimal design using available resources. This study proposes a hybrid PSO-GWO algorithm called HPSGWO to solve the reliability-redundancy optimization problem. The results show that HPSGWO outperforms other metaheuristic algorithms and provides promising answers in comparison with prior PSO and GWO results for reliability redundancy allocation problems.
QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL
(2023)
Article
Mathematical & Computational Biology
Huu Dang Quoc
Summary: This paper presents a novel hybrid algorithm called MEMINV, which combines the Memetic algorithm with the Inverse method to tackle the Multi-Skill Resource-Constrained Project Scheduling Problem (MS-RCPSP). The proposed algorithm utilizes the inverse method to identify local extremes and then relocates the population to explore new solution spaces for further evolution. The MEMINV algorithm is evaluated on the iMOPSE benchmark dataset, and the results demonstrate its superiority. The solution of the MS-RCPSP problem using the MEMINV algorithm can be used for intelligent production planning in various industrial production fields instead of manual planning.
MATHEMATICAL BIOSCIENCES AND ENGINEERING
(2023)
Article
Computer Science, Artificial Intelligence
Amalesh Kumar Manna, Asoke Kumar Bhunia
Summary: This study deals with a green production model in an interval environment, using an interval approach to represent imprecise parameters and solve the maximization problem with interval order relations and center-radius optimization technique. The proposed model is justified and validated with a numerical example, and sensitivity analyses are performed.
Article
Engineering, Industrial
Rajan Mondal, Subhajit Das, Subhash Chandra Das, Ali Akbar Shaikh, Asoke Kumar Bhunia
Summary: This paper investigates a partially backlogged inventory model with interval uncertainty, considering the availability of advance payment and discounts. The objective function is transformed into interval-valued and solved using c-r optimization technique and three variants of QPSO. The feasibility of the proposed model is demonstrated through numerical examples.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE-OPERATIONS & LOGISTICS
(2023)
Article
Engineering, Industrial
Subhajit Das, Md Sadikur Rahman, Ali Akbar Shaikh, Asoke Kumar Bhunia, Ali Ahmadian
Summary: The goal of this work is two-fold: (i) to theoretically develop optimality conditions for a variational problem with interval uncertainty, and (ii) to apply the established results in a production inventory model with interval uncertainty. The necessary and sufficient optimality conditions for the interval-valued variational problem (IVVP) are proposed using interval order relations. A production inventory model is formulated considering interval-valued time-dependent production and demand rates. The optimal policy of the proposed model is studied using the established optimality conditions.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE-OPERATIONS & LOGISTICS
(2023)
Article
Mathematics, Applied
Subhajit Das, Md Sadikur Rahman, Ali Akbar Shaikh, Asoke Kumar Bhunia, Ioannis Konstantaras
Summary: This work explores the Laplace and inverse transforms of interval valued functions and emphasizes on their properties under interval flexibility. The formal definition of interval Laplace transform is proposed, along with derived properties and the existence conditions. The study also discusses crucial results related to switching points of the interval Laplace transform and provides numerical examples. Finally, the definition of inverse transform for interval valued functions is introduced, and its application is demonstrated in a production inventory model under interval uncertainty.
MATHEMATICAL METHODS IN THE APPLIED SCIENCES
(2023)
Article
Engineering, Mechanical
Subhashis Das, Madhurima Mukherjee, Argha Mondal, Kshitish Ch. Mistri, Sanat Kumar Mahato, M. A. Aziz-Alaoui
Summary: This article demonstrates an analytical approach to show the emerging traveling pulses for the local evolution of a set of diffusively coupled dynamical equations representing neuronal impulses. The derived dynamics governing the traveling pulses solution is described in a space-time reference frame with a two-dimensional excitable Hindmarsh-Rose (H-R) type oscillator. The conditions that allow us to describe explicitly the nature of propagating traveling pulses are deduced. The obtained results reveal the possibility of collective behavior for information processing in excitable systems.
NONLINEAR DYNAMICS
(2023)
Article
Computer Science, Interdisciplinary Applications
Subhajit Das, Goutam Mandal, Amalesh Kumar Manna, Ali Akbar Shaikh, Asoke Kumar Bhunia
Summary: In the past few decades, government regulations on emissions have led to a lack of motivation among small and moderate manufacturing industries. Consumers nowadays prefer eco-friendly products, making it difficult for manufacturing companies to make appropriate marketing decisions in a highly competitive market. This study aims to develop a production system model to benefit manufacturers dealing with these issues by using interval modelling and optimal control techniques. The model investigates the impact of emission reduction technology and the greenness index on the revenue of the system, providing insights for manufacturers to set up effective marketing policies.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Biology
Prasenjit Mahato, Sanat Kumar Mahato, Subhashis Das
Summary: We propose and study a susceptible-exposed-infected-recovered (XY ZW) epidemic model with saturated treatment function. The effect of delayed treatment on disease transmission is examined by considering a saturated treatment function in the epidemic system. The existence and uniqueness of the positive solution as well as stochastic boundedness, permanence, and extinction of the model are investigated. Numerical simulations are performed to illustrate the results, and the sensitivity analysis of the basic reproduction number is conducted.
JOURNAL OF BIOLOGICAL SYSTEMS
(2023)
Article
Engineering, Mechanical
Subhashis Das, Sanat Kumar Mahato, Argha Mondal, Eva Kaslik
Summary: This article introduces a three-dimensional fractional-order slow-fast prey-predator model to explore the impact of pest-control strategy on integrated pest management. The dynamics of the prey-predator system and its qualitative properties are analyzed using a fractional-order model. The stability and the occurrence of Hopf bifurcations in the model are found to be influenced by the fractional-order exponent.
NONLINEAR DYNAMICS
(2023)
Article
Biology
Prasenjit Mahato, Sanat Kumar Mahato, Subhashis Das, Partha Karmakar
Summary: In this article, the dynamical properties of the susceptible-vaccinated-infected-susceptible (SVIS) epidemic system with saturated incidence rate and vaccination strategies are studied. The existence and uniqueness of the stochastic system are examined by constructing a suitable Lyapunov function. A critical value R-s* is established with respect to the basic reproduction number R* of the deterministic system. Under the condition of R-s* > 1, a unique ergodic stationary distribution is investigated, representing the long-term persistence of the disease. The main focus of the study is the analysis of the probability density function of the stochastic system around the quasi-endemic equilibrium. The existence of the ergodic stationary distribution and density function under R-s* > 1 can explain all the dynamical behavior of the disease persistence. The condition for disease extinction is derived, and numerical results and sensitivities of the biological parameters are discussed to support the theoretical study. Results and conclusions are highlighted.
THEORY IN BIOSCIENCES
(2023)
Article
Engineering, Multidisciplinary
Subhashis Das, Sanat Kumar Mahato, Prasenjit Mahato
Summary: In this paper, a mathematical model for COVID-19 is developed, dividing the population into six classes. The concept of shield immunity is utilized to get back to normal, considering the interaction between recovered and susceptible/infected individuals. The model's stability and optimal control are analyzed, and simulations are conducted with real data to predict different scenarios.
JOURNAL OF APPLIED NONLINEAR DYNAMICS
(2023)
Article
Green & Sustainable Science & Technology
M. Mukherjee, D. Pal, S. K. Mahato
Summary: Based on the Lotka-Volterra model and biological parameters, this paper investigates the harvesting system of prey-predator species using intuitionistic fuzzy numbers. The existence and local stability of equilibrium points are analyzed, and the condition for global stability is derived using suitable Lyapunov function. The study also explores the economic aspects and optimal harvesting policies, and analyses the existence of limit cycles in the fuzzy prey-predator model through numerical simulations.
JOURNAL OF ENVIRONMENTAL ACCOUNTING AND MANAGEMENT
(2023)
Article
Multidisciplinary Sciences
M. Mukherjee, D. Pal, S. K. Mahato, Ebenezer Bonyah
Summary: This paper explores a multispecies prey-predator harvesting system based on the Lotka-Volterra model, where there are two types of prey (palatable and toxic) and one predator, with interval biological parameters. The presence of toxic prey significantly affects the dynamics of the prey-predator system. A mathematical model is developed based on interval numbers due to the lack of precise numerical data, and the dynamical behavior of the model is discussed. The existence and stability of different equilibrium points are observed, and the optimal harvest policy is obtained using Pontryagin's maximum principle.
SCIENTIFIC AFRICAN
(2023)
Article
Engineering, Multidisciplinary
Md Sadikur Rahman, Subhash Chandra Das, Md. Al-Amin Khan, Ali Akbar Shaikh, Asoke Kumar Bhunia
Summary: This paper discusses the importance of advance payment and the lifetime of an item in the business sector and proposes a non-deterministic inventory model to address these issues. The models consider variable holding cost, variable demand, and advertisement frequency under an advance payment policy. The interval optimization problems related to both models are solved using interval mathematics and interval order relations. Two examples are used to validate the models and sensitivity analyses are performed to study the impact of parameter deviations on optimality. The paper concludes by providing potential management insights and future research directions.
INTERNATIONAL JOURNAL OF MODELLING AND SIMULATION
(2023)
Article
Mathematics, Applied
Subhashis Das, Prasenjit Mahato, Sanat Kumar Mahato
Summary: A non-linear mathematical model is proposed in this paper to study the dynamics of disease transmission via pests. The crisp model is converted to a fuzzy model and a graded mean integration technique is used for defuzzification. The model is compared with a stochastic model and the existence, uniqueness, and boundedness of the solution are discussed. Equilibrium points, local stability, global stability analysis, and Hopf bifurcations are investigated. Numerical experiments with MATLAB are conducted, and the sensitivities of the control parameters are analyzed graphically.
DIFFERENTIAL EQUATIONS AND DYNAMICAL SYSTEMS
(2023)
Article
Engineering, Industrial
Puja Supakar, Sanat Kumar Mahato
Summary: This paper explores the use of advance payment in inventory modeling and supply chain. Two inventory models with time dependent ramp type demand and time proportion deterioration rate are developed, and fuzzy numbers are used to incorporate uncertainties. Numerical examples are presented to analyze the effects of different inventory parameters, and managerial insights are described.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE-OPERATIONS & LOGISTICS
(2022)
