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MSSSA: a multi-strategy enhanced sparrow search algorithm for global optimization Research Article

Kai MENG, Chen CHEN, Bin XIN

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 12,   Pages 1828-1847 doi: 10.1631/FITEE.2200237

Abstract: The (SSA) is a recent meta-heuristic optimization approach with the advantages of simplicity and flexibility. However, SSA still faces challenges of premature convergence and imbalance between exploration and exploitation, especially when tackling multimodal . Aiming to deal with the above problems, we propose an enhanced variant of SSA called the multi-strategy enhanced (MSSSA) in this paper. First, a chaotic map is introduced to obtain a high-quality initial population for SSA, and the opposition-based learning strategy is employed to increase the population diversity. Then, an is designed to accommodate an adequate balance between exploration and exploitation. Finally, a is embedded in the individual update stage to avoid falling into local optima. To validate the effectiveness of the proposed MSSSA, a large number of experiments are implemented, including 40 complex functions from the IEEE CEC2014 and IEEE CEC2019 test suites and 10 classical functions with different dimensions. Experimental results show that the MSSSA achieves competitive performance compared with several state-of-the-art optimization algorithms. The proposed MSSSA is also successfully applied to solve two engineering . The results demonstrate the superiority of the MSSSA in addressing practical problems.

Keywords： Swarm intelligence     Sparrow search algorithm     Adaptive parameter control strategy     Hybrid disturbance    

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Compressive strength prediction and optimization design of sustainable concrete based on squirrel searchalgorithm-extreme gradient boosting technique

Frontiers of Structural and Civil Engineering   Pages 1310-1325 doi: 10.1007/s11709-023-0997-3

Abstract: The results indicated that the squirrel search algorithm-extreme gradient boosting (SSA-XGB) yielded

Keywords： sustainable concrete     fly ash     slay     extreme gradient boosting technique     squirrel search algorithm    

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Solving unit commitment problem using a novel version of harmony search algorithm

Roozbeh MORSALI,Tohid JAFARI,Amirhossein GHODS,Mohammad KARIMI

Frontiers in Energy 2014, Volume 8, Issue 3,   Pages 297-304 doi: 10.1007/s11708-014-0309-7

Abstract: In this context, a novel structure was proposed for improving harmony search (HS) algorithm to solveThe HS algorithm obtained optimal solution for defined objective function by improvising, updating andIn the proposed improved self-adaptive HS (SGHS) algorithm, two important control parameters were adjustedto reach better solution from the simple HS algorithm.units, and the obtained results were compared with those of the simple HS algorithm and other related

Keywords： generation scheduling     harmony search (HS) algorithm     intelligent technique     unit commitment    

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A modified harmony search algorithm and its applications in weighted fuzzy production rule extraction Research Article

Shaoqiang YE, Kaiqing ZHOU, Azlan Mohd ZAIN, Fangling WANG, Yusliza YUSOFF

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 11,   Pages 1574-1590 doi: 10.1631/FITEE.2200334

Abstract: Harmony search (HS) is a form of stochastic meta-heuristic inspired by the improvisation process of musiciansIn this study, a modified HS with a hybrid cuckoo search (CS) operator, HS-CS, is proposed to enhanceglobal search ability while avoiding falling into local optima.This is to improve the efficiency and accuracy of HS algorithm optimization.Three theorems are proved to reveal HS-CS as a meta-heuristic algorithm.

Keywords： Harmony search algorithm     Cuckoo search algorithm     Global convergence     Function optimization     Weighted    

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Optimal design of double-layer barrel vaults using genetic and pattern search algorithms and optimized

Frontiers of Structural and Civil Engineering 2023, Volume 17, Issue 3,   Pages 378-395 doi: 10.1007/s11709-022-0899-9

Abstract: Subsequently, the main optimization problem is solved using the OANN and a population-based algorithmThe algorithms considered in this step are the arithmetic optimization algorithm (AOA) and genetic algorithmabovementioned problem is solved using the optimal point obtained from the previous step and the pattern search(PS) algorithm.same accuracy as the OANN + AOA + PS algorithm.

Keywords： optimization     surrogate models     artificial neural network     SAP2000     genetic algorithm    

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A new focused crawler using an improved tabu search algorithm incorporating ontology and host information Research Article

Jingfa LIU, Zhen WANG, Guo ZHONG, Zhihe YANG,1007427607@qq.com

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 6,   Pages 859-875 doi: 10.1631/FITEE.2200315

Abstract: To avoid crawling visited hyperlinks and expand the search range, we present an improved tabu search(ITS) algorithm and the strategy of memory.

Keywords： Focused crawler     Tabu search algorithm     Ontology     Host information     Priority evaluation    

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A simple multi-wave algorithm for the uncapacitated facility location problem

Fred GLOVER, Saïd HANAFI, Oualid GUEMRI, Igor CREVITS

Frontiers of Engineering Management 2018, Volume 5, Issue 4,   Pages 451-465 doi: 10.15302/J-FEM-2018038

Abstract:

The multi-wave algorithm (Glover, 2016) integrates tabu search and strategic oscillation utilizingrepeated waves (nested iterations) of constructive search or neighborhood search.We propose a simple multi-wave algorithm for solving the Uncapacitated Facility Location Problem (UFLPexperimental tests on a standard set of benchmarks for this widely-studied class of problems show that our algorithm

Keywords： discrete optimization     UFLP     multi-wave optimization     strategic oscillation     tabu search    

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Multimethod Collaborative Optimization Algorithm Based on Embedding Collaboration

Luo Wencai,Luo Shishan,Wang Zhenguo

Strategic Study of CAE 2004, Volume 6, Issue 4,   Pages 51-55

Abstract:

Multi-method collaborative optimization algorithm based on embedding collaboration is advanced.A multimethod collaborative optimization algorithm base on embedding collaboration is designed, whichis composed of genetic algorithm, pattern search method and Powell's method.Results show that multi-method collaborative optimization algorithm based on embedding collaboration

Keywords： multimethod collaborative optimization algorithm     embedding collaboration     genetic algorithm     pattern search    

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An improved fruit fly optimization algorithm for solving traveling salesman problem Article

Lan HUANG, Gui-chao WANG, Tian BAI, Zhe WANG

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 10,   Pages 1525-1533 doi: 10.1631/FITEE.1601364

Abstract: As a new swarm-intelligence optimization algorithm, the fruit fly optimization algorithm (FOA) is usedHowever, it has problems, including a slow convergence rate for the algorithm, easily falling into theFirst, the vision search process is reinforced in the foraging behavior of fruit flies to improve theThey are performed on the solution sequence in the fruit fly’s smell search and vision search processes

Keywords： Traveling salesman problem     Fruit fly optimization algorithm     Elimination mechanism     Vision search     Operator    

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Organizational dynamics in adaptive distributed search processes: effects on performance and the role

Friederike WALL

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 4,   Pages 283-295 doi: 10.1631/FITEE.1500306

Abstract: In this paper, the effects of altering the organizational setting of distributed adaptive search processesin the course of search are investigated.We put particular emphasis on the complexity of interactions between partial search problems assignedto search agents.achieved during the search process.

Keywords： Agent-based simulation     Complexity     Coordination     Distributed search     NK landscapes    

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Discovering optimal features using static analysis and a genetic search based method for Android malware None

Ahmad FIRDAUS, Nor Badrul ANUAR, Ahmad KARIM, Mohd Faizal Ab RAZAK

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 6,   Pages 712-736 doi: 10.1631/FITEE.1601491

Abstract: Therefore, we used genetic search (GS), which is a search based on a genetic algorithm (GA), to select

Keywords： Genetic algorithm     Static analysis     Android     Malware     Machine learning    

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Design of hydraulic resonance of pulsed water - jet

Pu Jianing,Chen Ming

Strategic Study of CAE 2009, Volume 11, Issue 2,   Pages 36-42

Abstract: The conditions of desirable resonance are searched by direct search algorithm of Matlab .

Keywords： jet     hydraulic resonance     method of characteristics     variable time step method     Matlab     direct searchalgorithm     sinusoidal pulsed flow generator    

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UAV search-and-rescue planning using an adaptive memetic algorithm Research Articles

Libin Hong, Yue Wang, Yichen Du, Xin Chen, Yujun Zheng,yujun.zheng@computer.org

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 11,   Pages 1477-1491 doi: 10.1631/FITEE.2000632

Abstract: can be very complex due to limited response time, large search area, and multiple candidate search modesIn this paper, we present a UAV search planning problem where the search area is divided into a set ofThe problem aims to determine the search sequence of the subareas and the search mode for each subareaWe propose an adaptive that combines a genetic algorithm with a set of local search procedures and dynamicallyComputational experiments show that the proposed algorithm exhibits competitive performance compared

Keywords： 文化基因算法；自适应；无人机；搜救    

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A modified simulated annealing algorithm and an excessive area model for floorplanning using fixed-outline Article

De-xuan ZOU,Gai-ge WANG,Gai PAN,Hong-wei QI

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 11,   Pages 1228-1244 doi: 10.1631/FITEE.1500386

Abstract: First, a modified simulated annealing (MSA) algorithm is proposed.

Keywords： Fixed-outline floorplanning     Modified simulated annealing algorithm     Global search     Excessive area model    

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Border-search and jump reduction method for size optimization of spatial truss structures

Babak DIZANGIAN, Mohammad Reza GHASEMI

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 1,   Pages 123-134 doi: 10.1007/s11709-018-0478-2

Abstract: This paper proposes a sensitivity-based border-search and jump reduction method for optimum design ofTo reach the global solution at phase two, a sequence of two sensitivity-based operators of border-search

Keywords： optimum design     sensitivity analysis     reduction method     spatial trusses     OpenSees    

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Title Author Date Type Operation

MSSSA: a multi-strategy enhanced sparrow search algorithm for global optimization

Kai MENG, Chen CHEN, Bin XIN

Journal Article

Compressive strength prediction and optimization design of sustainable concrete based on squirrel searchalgorithm-extreme gradient boosting technique

Journal Article

Solving unit commitment problem using a novel version of harmony search algorithm

Roozbeh MORSALI,Tohid JAFARI,Amirhossein GHODS,Mohammad KARIMI

Journal Article

A modified harmony search algorithm and its applications in weighted fuzzy production rule extraction

Shaoqiang YE, Kaiqing ZHOU, Azlan Mohd ZAIN, Fangling WANG, Yusliza YUSOFF

Journal Article

Optimal design of double-layer barrel vaults using genetic and pattern search algorithms and optimized

Journal Article

A new focused crawler using an improved tabu search algorithm incorporating ontology and host information

Jingfa LIU, Zhen WANG, Guo ZHONG, Zhihe YANG,1007427607@qq.com

Journal Article

A simple multi-wave algorithm for the uncapacitated facility location problem

Fred GLOVER, Saïd HANAFI, Oualid GUEMRI, Igor CREVITS

Journal Article

Multimethod Collaborative Optimization Algorithm Based on Embedding Collaboration

Luo Wencai,Luo Shishan,Wang Zhenguo

Journal Article

An improved fruit fly optimization algorithm for solving traveling salesman problem

Lan HUANG, Gui-chao WANG, Tian BAI, Zhe WANG

Journal Article

Organizational dynamics in adaptive distributed search processes: effects on performance and the role

Friederike WALL

Journal Article

Discovering optimal features using static analysis and a genetic search based method for Android malware

Ahmad FIRDAUS, Nor Badrul ANUAR, Ahmad KARIM, Mohd Faizal Ab RAZAK

Journal Article

Design of hydraulic resonance of pulsed water - jet

Pu Jianing,Chen Ming

Journal Article

UAV search-and-rescue planning using an adaptive memetic algorithm

Libin Hong, Yue Wang, Yichen Du, Xin Chen, Yujun Zheng,yujun.zheng@computer.org

Journal Article

A modified simulated annealing algorithm and an excessive area model for floorplanning using fixed-outline

De-xuan ZOU,Gai-ge WANG,Gai PAN,Hong-wei QI

Journal Article

Border-search and jump reduction method for size optimization of spatial truss structures

Babak DIZANGIAN, Mohammad Reza GHASEMI

Journal Article