A bat inspired algorithm for structural optimization software

The goa algorithm is benchmarked on challenging test functions. Bat algorithm, optimization metaheuristics, software system, swarm intelligence, natureinspired algorithms. It has been successfully used to solve different global optimization problems. The superior performance of this algorithm has been proven among the other most wellknown algorithms such as genetic algorithm ga and particle swarm optimization pso. Structural design optimization focuses on finding the optimal and practical. The main objective is to create an implementation of bat algorithm in python programming language. Optimization is the selection of the best elements for a particular set of criteria from a. The parameter initialization of the discussed binary bat algorithm bba has important influence on the convergence speed, convergence precision, and good global searching ability of the bba. A batinspired algorithm for structural optimization computers and. Bat algorithm inspired algorithm for solving numerical optimization. The exploration ability of goa is confirmed by the results on multimodal and composite functions.

The bat use sonar echoes to detect and avoid obstacles. New directional bat algorithm for continuous optimization. Bat algorithm a bat algorithm, which uses social behaviour of the bats to form solution for the optimization problem is getting popular in now days. An adaptive bat algorithm with memory for global optimization chunfeng wang, wenxin song, lixia liu abstractbat algorithm ba is a relative new method proposed by yang in 2010. From the perspective of parallel algorithms, this structural difference produces. Keywords presents the proposed novel adaptive bat algorithm optimization, bat algorithm, metaheuristics, swam intelligence, bioinspired algorithm. Weight optimization of steel frames with cellular beams. How the ant colony optimization algorithm works duration. The purpose of the case study was to develop a new float as a part of measurement system according to the setup configuration and test environment. The batinspired algorithm is derived from the echolocation behavior of bats. Metu civil engineering department ce300 intern summer 2010. Optimized parameter settings of binary bat algorithm for. This study intends to explore capabilities and potentials of this newly developed method in the realm of structural optimization.

Hunting search methodbased optimum design algorithm is presented to investigate the weight optimization of steel frames with cellular beams. Echolocation is an advanced hearing based navigation system used by bats and some other animals to detect objects in their surroundings by emitting a sound to the environment. Siam journal on computing society for industrial and. Inspired by bat algorithm, a novel algorithm, which is called evolved bat algorithm eba, for solving the numerical optimization problem is proposed based on the framework of the original bat algorithm. A genetic algorithm approach to single and multiobjective structural optimization with discretecontinuous variables. This algorithm is inspired from microbat echolocation species mechanism since microbat utilizes. The purpose of this paper is to introduce a new nature. A genetic algorithm approach to single and multiobjective structural optimization with discretecontinuous variables international journal for numerical methods in engineering, vol. We also intend to combine the advantages of existing algorithms into the new bat. A work comparing the bat algorithm and many other algorithms was recently published 34. Bat inspired algorithm for discrete size optimization of. Bat algorithm ba is one of the recently proposed heuristic algorithms imitating the echolocation behavior of bats to perform global optimization.

Bat algorithm with weibull walk for solving global optimization and classification problems by hafiz tayyab rauf, muhammad hadi, abdur rehman abstract. An algorithm efficient in solving one class of optimization problem may not be efficient in solving others. Bat inspired bi algorithm is a recently developed metaheuristic optimization technique inspired by echolocation behavior of bats. An adaptive bat algorithm with memory for global optimization. The ba algorithm is nature inspired algorithm proposed by xinshe yang in 2010. Engineering optimization is typically multiobjective and multidisciplinary with complex constraints, and the solution of such complex problems requires efficient optimization algorithms. When addressing such problems, genetic algorithms typically have difficulty maintaining feasibility from parent to offspring. Recently, many new metaheuristics have been developed and employed to tackle structural optimization problems, such as the mine blast algorithm sadollah et al. The algorithm is relatively direct in any programming language in order to observe, we apply the bat algorithm to the application of matlab software to test various. The bat algorithm was proposed by xinshe yang in 2010, which is inspired.

Capabilities and potentials of bi are investigated in structural optimization. Structural topology design optimization using the binary bat. In this paper we present a general genetic algorithm to address a wide variety of sequencing and optimization problems including multiple machine scheduling, resource allocation, and the quadratic assignment problem. Also, a solution for a scheduling problem using a bat algorithm was presented by musikapun and pongcharoen 35, while a. A novel algorithm is developed with bi for steel frame optimization.

Each virtual bat flies randomly with a velocity at position solution with a varying frequency or wavelength and loudness. To improve the efficiency of the structural optimization design in truss. Evolutionary algorithms convergence to an optimal solution is designed to be independent of initial population. The literature has expanded significantly in the past few years. Recently, xinshe yang proposed a batinspired algorithm. The bat algorithm is a metaheuristic algorithm for global optimization. Bats having the capability to sense echolocation and differentiate. Optimal design of a welded beam via genetic algorithms. Introduction the ongoing research in solving optimization problems has developed new. The algorithm exploits the socalled echolocation of the bats.

A novel bat algorithm based on differential operator and. Bat is the only mammals which having wings and uses echolocation to find the prey. In this study, the bi algorithm is examined in the context of discrete size optimization of steel frames designed for minimum weight. For instance, bat algorithm is a natureinspired optimization method and. Application backgroundin this paper, a novel meta heuristic algorithm, bat algorithm, is proposed for bat based echo location. Keywords metaheuristics, bat algorithm, realworld problems and unconstrained problems. However, it may also lead to premature convergence. The bat algorithm ba is a new bionic intelligent optimization algorithm to simulate the foraging behavior and the echolocation principle of the bats. Bat inspired bi search is a recently developed optimization technique. Results indicate that proposed version is the best in terms of solution quality. Bat algorithm ba becomes the most widely employed metaheuristic algorithm to interpret the diverse kind of optimization and realworld classification problems.

Fun denotes the objective function that may be changed by the user. We also intend to combine the advantages of existing algorithms into the new bat algorithm. Framework for bat algorithm optimization metaheuristic. Qosbased web services composition optimization with an extended bat inspired algorithm.

Optimization bat algorithm swarm optimization artificial intelligence. A batinspired algorithm for structural optimization. Bi makes use of echolocation behavior of bats in seeking a design space. Optimization of neural network model using modified bat. The books unified approach, balancing algorithm introduction, theoretical background and practical implementation, complements extensive literature with wellchosen case studies to illustrate how these algorithms work. Then, a multipopulation parallel bat algorithm based on the island model is. Batinspired bi search is a recently developed optimization technique. Bat inspired algorithm is a metaheuristic optimization algorithm developed by xinshe yang in 2010. A batinspired algorithm for prioritizing test cases springerlink. Introduction optimization algorithms have extensively been applied on diverse and numerous areas over the last few decades. Improved bat algorithm based on multipopulation strategy of island.

Truss structure optimization based on improved chicken swarm. Genetic algorithms and random keys for sequencing and. In this paper, we propose a new metaheuristic method, the bat algorithm, based on the echolocation behaviour of bats. The following example presents a simple use of bat algorithm.

This bat algorithm is based on the echolocation behaviour of micro bats with varying pulse rates of emission and loudness. International journal of bioinspired computation ijbic. It was inspired by the echolocation behaviour of microbats, with varying pulse rates of emission and loudness. Natureinspired optimization algorithms provides a systematic introduction to all major natureinspired algorithms for optimization.

The 2010 paper a new metaheuristic batinspired algorithm seems to suggest that 0. A batinspired algorithm for structural optimization 20. Ba can deal with both continuous optimization and discrete optimization problems. The bat algorithm was developed by xinshe yang in 2010 further reading. Bat algorithm inspired algorithm for solving numerical.

Metaheuristics is a new method for stochastic optimization. Bat inspired bi search is a recently developed numerical optimization technique that makes use of echolocation behavior of bats in seeking a design space. Pdf inspired by bat algorithm, a novel algorithm, which is called evolved bat algorithm eba, for solving the numerical optimization problem is. The results on the unimodal functions show the superior exploitation of goa. Purpose natureinspired algorithms are among the most powerful algorithms for optimization. This bat algorithm is based on the echolocation behaviour of microbats with varying pulse rates. Pdf a new metaheuristic batinspired algorithm researchgate. A new metaheuristic batinspired algorithm springerlink. Bat behaviour echolocation some bats have evolved a highly sophisticated sense of hearing.

The grasshopper optimisation algorithm inspired by grasshopper swarms is proposed. The bat algorithm ba is a heuristic algorithm that globally optimizes by simulating the bat echolocation behavior. Software cost estimation based on dolphin algorithm. With this regard, several materials such as acrylic, pvc, nylon. Improved bat algorithm based on multipopulation strategy. Bat algorithm is a simple optimization approach, yet at the same time very efficient 2, 3. Bioinspired algorithm, directional bat algorithm, optimization, unconstrained. In order to improve the search performance and further improve the convergence speed and optimization precision of the bat algorithm, an improved algorithm based on chaotic map is introduced, and the improved bat algorithm of levy flight search strategy and contraction factor is. The idealization of the echolocation of microbats can be summarized as follows.

Bat algorithm as a metaheuristic optimization approach in. Bat algorithm, engineering optimization, metaheuristic algorithm. Batinspired bi search is a recently developed numerical optimization technique that makes use of echolocation behavior of bats in seeking a design space. A novel algorithm is developed that employs basic principles of this method for structural optimization. Natureinspired optimization algorithms oreilly media. The results on structural design problems confirm the performance of goa in. In addition, wang and guo 20 hybridized bat algorithm with harmony search and have produced a hybrid bat algorithm for numerical optimization of function benchmarks. In the basic ba developed by yang in 2010, in order to propose the bat algorithm inspired by the echolocation characteristics of microbats, the following approximate or. The bat algorithm ba 6 is a natureinspired algorithm, which has recently been applied in many applications. Designmethodologyapproach the proposed ba is based on the echolocation behavior of bats. In the field of optimization, finding optimum design of structures are known one of. An application of bat algorithm ba as a metaheuristic optimization approach in materials and design to an engineering problem has been presented in this paper.

Echolocation is an advanced hearing based navigation system used by bats and some other animals to detect objects in their surroundings by emitting a. A novel algorithm is developed with bi for structural optimization. In the basic chicken swarm optimization algorithm, the concept of combining chaos. Optimum design of steel space frames via bat inspired algorithm, 10th world congress on structural and multidisciplinary optimization pp. Optimum design of steel space frames via bat inspired. Completed the basic surveying project and required training with satisfactory grade. Bat algorithm ayushi gagneja me ece scholar nitttr chandigarh 2.

838 379 1585 753 130 374 1141 1010 282 1489 632 179 1054 449 760 1601 680 678 567 679 759 1166 347 1151 726 967 196 121 1256 1229 613 1431 511