Size optimization of space trusses using Big Bang-Big Crunch algorithm

By Ali Kaveh, Siamak Talatahari. 2009

437 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Computational Theory and Mathematics

View Paper: https://www.semanticscholar.org/paper/c690251475b21c3de83018fc6c7167c6f9dd86b5

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In Civil and Structural Engineering

In Computational Theory and Mathematics

Citations in the corpus

A novel heuristic optimization method: charged system search (2010, methodology): “Also, Simulated Annealing proposed by Kirkpatrick et al. [10], the Big Bang–Big Crunch algorithm (BB–BC) proposed by Erol and Eksin [11] and improved by Kaveh and Talatahari [ 12 ], and the Gravitational Search Algorithm (GSA) presented by Rashedi et al. [13] are introduced using physical phenomena.”
Emperor penguin optimizer: A bio-inspired algorithm for engineering problems (2018, background): “Groups EPO ACO[66] PSO[67] CSS[68] BB-BC[69] A1 0.”
Elephant Herding Optimization (2015, background): “…cuckoo search (CS) [14-20], bat algorithm (BA) [21-24], firefly algorithm (FA) [25-28], animal migration optimization (AMO) [29], ant lion optimizer (ALO) [30], big bang-big crunch algorithm (BB-BC) [31-34], charged system search (CSS) [35-37], chaotic swarming of particles (CSP) [38], monarch…”
A new optimization method: Dolphin echolocation (2013, methodology): “[9], Big Bang–Big Crunch algorithm (BB–BC) proposed by Erol and Eksin [10], and improved by Kaveh and Talatahari [11].”
STOA: A bio-inspired based optimization algorithm for industrial engineering problems (2019, background): “Groups STOA ACO (Camp and Bichon, 2004) PSO (Schutte and Groenwold, 2003) CSS (Kaveh and Talatahari, 2010b) BB-BC (Kaveh and Talatahari, 2009) A1 0.”
A CHARGED SYSTEM SEARCH WITH A FLY TO BOUNDARY METHOD FOR DISCRETE OPTIMUM DESIGN OF TRUSS STRUCTURES (2010, background): “Many research results are available on optimum discrete design of structural problems utilizing different metaheuristic algorithms [2-18].”
A novel algorithm for global optimization: Rat Swarm Optimizer (2020, background): “1 3 Table 22 Statistical results of proposed RSO with literature for 25-bar truss design problem Group RSO ACO (Bichon 2004) PSO (Schutte and Groenwold 2003) CSS (Kaveh and Talatahari 2010b) BB-BC (Kaveh and Talatahari 2009)”
Mathematical and Metaheuristic Applications in Design Optimization of Steel Frame Structures: An Extensive Review (2013, background): “Kaveh and Talatahari [229, 230] have also combined the search strategies of the harmony search method, particle swarm optimizer, and ant colony optimization to obtain efficient metaheuristic technique called HPSACO for the optimum design of steel frames.”
Chaotic Krill Herd algorithm (2014, background): “j o u r n a l h o m e p a g e : w w w . e l s e v i e r . c o m / l o c a t e / i n s crunch algorithm [5] [23] [25] [26], harmony search (HS) [15] [17] [47], charged system search (CSS) [24], animal migration optimization (AMO) [31], teaching–learning-based optimization (TLBO) [3,35], bat…”
Seagull optimization algorithm: Theory and its applications for large-scale industrial engineering problems (2019, background): “Groups SOA ACO [83] PSO [84] CSS [85] BB-BC [86]”