Particle swarm optimizer, ant colony strategy and harmony search scheme hybridized for optimization of truss structures

By Ali Kaveh, Siamak Talatahari. 2009

525 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Civil and Structural Engineering, Computational Theory and Mathematics

View Paper: https://www.semanticscholar.org/paper/7f7cc895fd90c3f2223176c948ef8bb7dfb3ae6c

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In Artificial Intelligence

In Civil and Structural Engineering

In Computational Theory and Mathematics

Citations in the corpus

A survey on applications of the harmony search algorithm (2013, background): “Another set of studies deal with the optimization of truss structures (Kaveh and Talatahari, 2009), which involves obtaining the optimum values for member cross-sectional areas that minimize the structural weight.”
Search group algorithm (2015, methodology): “For example, classical metaheuristic algorithms such as Simulated Annealing [5,6], Genetic Algorithms [7,8], Particle Swarm Optimization [6,9–11], Harmony Search [12–14] and Ant Colony Optimization [15], were employed.”
Particle Swarm Optimization: A survey of historical and recent developments with hybridization perspectives (2018, methodology): “Author/s: Year Algorithm Area of Application Shelokar et al. [104] 2007 PSACO Improved continuous optimization Kaveh and Talatahari [105] 2009 DHPSACO Truss structures with discrete variables Kaveh and Talatahari [106] 2009 HPSACO Truss structures Niknam and Amiri [107] 2010 FAPSO-ACO-K Cluster anal”
Colliding bodies optimization: A novel meta-heuristic method (2014, methodology): “In fact, the lighter design found by Kaveh and Talatahari in [6] actually violates the first two optimization constraints.”
Geometry and topology optimization of geodesic domes using charged system search (2011, background): “Rajeev and Krishnamoorthy 1992 ;C amp et al.1998 ;C amp and Bichon 2004; Serra and Venini 2006; Perez and Behdinan 2007; Lamberti 2008; Kaveh and Shojaee 2007; Kaveh et al. 2008a; Kaveh and Talatahari 2009a, b, c, 2010a); • Geometry optimization which determines the optimum location of the joints ”
A novel heuristic optimization method: charged system search (2010, methodology): “The value of HMCR is set to 0.95 and that of PAR is taken as 0.10 [ 15 ].”
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 new optimization method: Dolphin echolocation (2013, result): “It should be mentioned that Kaveh and Talatahari [12] show that the HPSACO itself has better convergence rate in comparison to GA, PSO, PSOPC and HPSO.”
A new meta-heuristic method: Ray Optimization (2012, background): “Since the best answer, especially in engineering problems, is close to the boundaries [12], it is locked on 0.”
Size optimization of space trusses using Big Bang-Big Crunch algorithm (2009, methodology): “IACS [28] PSACO [44] HPSACO [45] BB–BC [46] (in) (cm)”
Shape optimization of structures for frequency constraints by sequential harmony search algorithm (2013, background): “Past research (Kaveh and Talatahari 2009, Salajegheh and Gholizadeh 2010) has demonstrated that the probability of finding a desirable optimum increases with additional searches around the local optima.”