752 publications from this institution
No abstract is provided for this article.
Randomization is widely used in nature-inspired optimization algorithms, and random walks are a form of randomization. This chapter introduces the basic concepts of random walks, Lévy flights and Markov chains as well as their links with optimization algorithms.
No abstract is provided for this article.
No abstract is provided for this article.
Plasma gas injection as one of the non-thermal plasma (NTP) technologies has a free-standing gas-phase plasma reactor outside the polluted target and can efficiently degrade contaminants by injecting plasma gas containing a large number of reactive species. This approach has been utilized in various fields of pollutants treatment, because of its structural advantage of indirect contact between pollutants and electrodes and its ability to produce strong oxidizing species. This article first expounds on the principle of the plasma gas injection and then progresses to a discussion of its application for pollutants degradation, mainly focusing on the treatment effect and degradation mechanisms. It is believed that plasma gas injection is considered to be a very practical, clean, efficient, and environmentally friendly method for pollution control.
This chapter introduces the finite element method from weak forms to shape functions. Differential operators are briefly reviewed, followed by the weak formulation with the application of both essential and natural boundary conditions. Various shape functions, such as linear, quadratic, and 2D shape functions, are given in detail. A worked example shows how the finite element method works. Finally, the formulation for time-dependent problems is also explained.
The necessity of an optimisation procedure in optical phased array (OPA) design has been demonstrated. Simulated annealing was used to perform the numerical simulation. The analysis studies the scheme of a two-dimensional fibre-type OPA with piezoelectric ceramics (PZT) phase shifters. Moreover, an experimental system has been set up to confirm the integrity of the design.
No abstract is provided for this article.
The integration we have discussed so far is for functions in the real domain. Integration can be extended to deal with the integrals of complex functions, and this chapter introduces some advanced techniques in calculus.
The firefly algorithm has been proved to be effective to solve multimodal optimization problems. Over the past ten years, many variants have been developed and have been applied to a diverse range of applications. This chapter briefly outlines some of the recent variants and applications.
This paper proposes an adaptation of the Random- Key Cuckoo Search (RKCS) algorithm for solving the famous Quadratic Assignment Problem (QAP). We used a simplified and efficient random-key encoding scheme to convert a continous space (real numbers) into a combinatorial space. We also consid- ered the displacement of a solution in both spaces by using Le´vy flights. The performance of the RKCS for QAP is tested against a set of benchmarks of QAP from the well-known QAPLIB library, and the comparison with a set of other methaheuristics is also carried out.
A multispecies artificial ecosystem is formulated using cellular automata with species interactions and food chain hierarchy. The constructed finite state automaton can simulate the complexity and self-organized characteristics of the evolving multispecies living ecosystems. Numerical experiments show that a small perturbation or extinction event may affect many other species in the ecosystem in an avalanche manner. Both the avalanches and the extinction arising from these changes follow a power law, reflecting that the multispecies living ecosytems have the characteristics of self-organized criticality.
No abstract is provided for this article.
Metaheuristic algorithms are effective for optimization with diverse applications in engineering. The optimum tuning of tuned mass dampers is very important for seismic structures excited by random vibrations, and optimization techniques have been used to obtain the best performance for optimally tuned mass dampers. In this study, a novel optimization approach employing the bat algorithm with several modifications for the tuned mass damper optimization problem is presented. In the proposed method, the design variables such as the mass, period and damping ratio of tuned mass damper are optimized and different earthquake records are considered during the optimization process. The method is then applied to a ten-story civil structure and the results are then compared with the analytical methods and other methods such as genetic algorithms, particle swarm optimization, and harmony search. The comparison shows that the proposed method is more effective than other compared methods. Additionally, the robustness of the optimum results was evaluated. The proposed approach for optimizating tuned mass dampers via the bat algorithm is a feasible and efficient approach.
