Trees Social Relations Optimization Algorithm: A new Swarm-Based metaheuristic technique to solve continuous and discrete optimization problems

Alimoradi, Mahmoud; Azgomi, Hossein; Asghari, Ali

doi:10.1016/j.matcom.2021.12.010

Cited by 37 publications

(25 citation statements)

References 59 publications

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“…( 2018 ) 492 Tree Physiology Optimization (TPO) Halim and Ismail ( 2018 ) 493 Tree Seed Algorithm (TSA) Kiran ( 2015 ) 494 Trees Social Relations Optimization Algorithm (TSR) Alimoradi et al. ( 2022 ) 495 Triple Distinct Search Dynamics (TDSD) Li et al. ( 2020 ) 496 Tug of War Optimization (TWO) Kaveh and Zolghadr ( 2016 ) 497 Tuna Swarm Optimization (TSO) Xie et al.…”

Section: Metaheuristicsmentioning

confidence: 99%

An exhaustive review of the metaheuristic algorithms for search and optimization: taxonomy, applications, and open challenges

2023

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As the world moves towards industrialization, optimization problems become more challenging to solve in a reasonable time. More than 500 new metaheuristic algorithms (MAs) have been developed to date, with over 350 of them appearing in the last decade. The literature has grown significantly in recent years and should be thoroughly reviewed. In this study, approximately 540 MAs are tracked, and statistical information is also provided. Due to the proliferation of MAs in recent years, the issue of substantial similarities between algorithms with different names has become widespread. This raises an essential question: can an optimization technique be called ‘novel’ if its search properties are modified or almost equal to existing methods? Many recent MAs are said to be based on ‘novel ideas’, so they are discussed. Furthermore, this study categorizes MAs based on the number of control parameters, which is a new taxonomy in the field. MAs have been extensively employed in various fields as powerful optimization tools, and some of their real-world applications are demonstrated. A few limitations and open challenges have been identified, which may lead to a new direction for MAs in the future. Although researchers have reported many excellent results in several research papers, review articles, and monographs during the last decade, many unexplored places are still waiting to be discovered. This study will assist newcomers in understanding some of the major domains of metaheuristics and their real-world applications. We anticipate this resource will also be useful to our research community.

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Section: Metaheuristicsmentioning

confidence: 99%

An exhaustive review of the metaheuristic algorithms for search and optimization: taxonomy, applications, and open challenges

2023

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“…The WBD problem is known as one of the most popular structural benchmark design problems. [72][73][74][75][76] In WBD problem, the end of a rectangular beam is welded to a rigid object. The vertical point force of 600 lb is applied to free end of the beam.…”

Section: Welded Beam Design Problemmentioning

confidence: 99%

“…The WBD problem is known as one of the most popular structural benchmark design problems 72–76 . In WBD problem, the end of a rectangular beam is welded to a rigid object.…”

Section: Definitions Of Design Problems and Evaluations Of Achieved R...mentioning

confidence: 99%

Numerical design optimization of real size complex steel space frame structures using a novel adaptive cuckoo search method

Carbas,

Tunca

2023

Numerical Meth Engineering

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In this study, real size complex steel space frame structures are numerically designed to achieve optimal design weight. For this aim, standard cuckoo search algorithm is rectified through a newly proposed adaptive method over two fundamental algorithmic parameters of alien egg probability detection (Pa) and step size control (α) to overcome incompetency of trapping into local optima. Besides, to strengthen exploitation phase of newly proposed algorithm, it is boosted with greedy selection (GS). So, novel algorithm has more promising exploration and exploitation capabilities. An 8‐story, 1024‐member and a 20‐story, 1860‐member real size complex steel space frame structures are selected as design examples. Also, initially to verify the supremacy of novel algorithm, a well‐known welded beam is optimized as a benchmark structural design problem. Afterwards, the steel space frame structures are optimally designed via novel algorithm. Since ready steel section lists are utilized as selection pool for design variables, discrete programming problem is come into existence. The dead, live, snow, and wind design loads acting on frame structures are calculated in direction of ASCE 7‐05 provisions. Furthermore, the structural design constraints are determined from LRFD‐AISC specifications. Eventually, the newly proposed adaptive cuckoo search algorithm boosted with GS presents outstanding algorithmic performance.

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“…Metaheuristic algorithms are nature-inspired algorithms. There is a vast range of algorithms that replicate phenomena such as social behaviour, natural responses or human competitiveness [33][34][35] .…”

Section: Introductionmentioning

confidence: 99%

“…There is a vast range of algorithms that replicate phenomena such as social behaviour, natural responses or human competitiveness. 33–35 The key aspect of them is the ability to escape from the local optimal point. Swarm-based algorithms simulate species-specific social traits such as labour division or pattern formation during food gathering.…”

Section: Introductionmentioning

confidence: 99%

Automating mix design for 3D concrete printing using optimization methods

Sergis

Ouellet‐Plamondon

2022

Digital Discovery

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Trees Social Relations Optimization Algorithm: A new Swarm-Based metaheuristic technique to solve continuous and discrete optimization problems

Cited by 37 publications

References 59 publications

An exhaustive review of the metaheuristic algorithms for search and optimization: taxonomy, applications, and open challenges

An exhaustive review of the metaheuristic algorithms for search and optimization: taxonomy, applications, and open challenges

Numerical design optimization of real size complex steel space frame structures using a novel adaptive cuckoo search method

Automating mix design for 3D concrete printing using optimization methods

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