By A. Kaveh
This booklet offers effective metaheuristic algorithms for optimum layout of constructions. lots of those algorithms are constructed via the writer and his colleagues, including Democratic Particle Swarm Optimization, Charged procedure seek, Magnetic Charged approach seek, box of Forces Optimization, Dolphin Echolocation Optimization, Colliding our bodies Optimization, Ray Optimization. those are awarded including algorithms which have been constructed through different authors and feature been effectively utilized to numerous optimization difficulties. those encompass Particle Swarm Optimization, large Bang-Big Crunch set of rules, Cuckoo seek Optimization, Imperialist aggressive set of rules, and Chaos Embedded Metaheuristic Algorithms. eventually a multi-objective optimization procedure is gifted to resolve large-scale structural difficulties in accordance with the Charged method seek algorithm.
The innovations and algorithms awarded during this ebook aren't merely acceptable to optimization of skeletal buildings and finite point versions, yet can both be applied for optimum layout of alternative platforms comparable to hydraulic and electric networks.
In the second one version seven new chapters are additional which includes the recent advancements within the box of optimization. those chapters include the improved Colliding our bodies Optimization, international Sensitivity research, Tug of conflict Optimization, Water Evaporation Optimization, Vibrating Particle method Optimization and Cyclical Parthenogenesis Optimization algorithms. A bankruptcy is additionally dedicated to optimum layout of huge scale structures.
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Additional resources for Advances in Metaheuristic Algorithms for Optimal Design of Structures
0471 40 2 Particle Swarm Optimization Fig. 13 Comparison of converge curves of democratic and standard PSO algorithms recorded in the 120-bar dome problem References 1. Kennedy J, Eberhart R (1995) Particle swarm optimization. Proc IEEE Int Conf Neural Netw 4:1942–1948 2. Shi Y, Eberhart R (1998) A modified particle swarm optimizer. In: Proceedings of IEEE World Congress on computational intelligence. E. international conference on evolutionary computation, pp 69–73 3. Reeves WT (1983) Particle systems—a technique for modeling a class of fuzzy objects.
Hence, this is a sizing optimization problem. This example is solved here using both the standard and democratic PSO in order to make the comparison possible. Thirty particles and 200 iterations are used for both methods. 12 represents a comparison between the final results obtained by the standard and the democratic PSO. 13 shows the natural frequencies of the final structures found by both methods. 12, the result obtained by the democratic PSO is meaningfully lighter than that of the standard PSO.
13 Comparison of converge curves of democratic and standard PSO algorithms recorded in the 120-bar dome problem References 1. Kennedy J, Eberhart R (1995) Particle swarm optimization. Proc IEEE Int Conf Neural Netw 4:1942–1948 2. Shi Y, Eberhart R (1998) A modified particle swarm optimizer. In: Proceedings of IEEE World Congress on computational intelligence. E. international conference on evolutionary computation, pp 69–73 3. Reeves WT (1983) Particle systems—a technique for modeling a class of fuzzy objects.
Advances in Metaheuristic Algorithms for Optimal Design of Structures by A. Kaveh