Bat-inspired algorithmArtificial neural networkChaotic mapTime series predictionClassificationReal-world rainfall dataThe success of an artificial neural network (ANN) strongly depends on the variety of the connection weights and the network structure. Among many methods used in the literature to ...
Metaheuristic algorithms such as particle swarm optimization, firefly algorithm and harmony search are now becoming powerful methods for solving many tough optimization problems. In this paper, we propose a new metaheuristic method, the Bat Algorithm, based on the echolocation behaviour of bats. We als...
ANewMetaheuristicBat-InspiredAlgorithm Xin-SheYang DepartmentofEngineering,UniversityofCambridge, TrumpingtonStreet,CambridgeCB21PZ,UK Abstract Metaheuristicalgorithmssuchasparticleswarmoptimization,fireflyalgorithmand harmonysearcharenowbecomingpowerfulmethodsforsolvingmanytoughoptimiza- ...
Metaheuristic algorithms such as particle swarm optimization, firefly algorithm and harmony search are now becoming powerful methods for solving many tough optimization problems. In this paper, we propose a new metaheuristic method, the Bat Algorithm, based on the echolocation behaviour of bats. We ...
We also intend to combine theadvantages of existing algorithms into the new bat algorithm. After a detailed formu-lation and explanation of its implementation, we will then compare the proposed algo-rithm with other existing algorithms, including genetic algorithms and particle swarm opt...
How to solve constrained optimization problems (COPs) is a significant research issue and we combine the bat-inspired algorithm (BA) with differential evolution (DE) into a new hybrid algorithm called BA-DE for solving the COPs. Traditional BAs are prone to sink into stagnation or local optima...
Bat-inspired algorithmMetaheuristicsMedoidsBat algorithm is a new nature-inspired metaheuristic optimization algorithm introduced by Yang in 2010, especially based on echolocation behavior of microbats when searching their prey. Firstly, this algorithm is used to solve various continuous optimization problems....
Bat-inspired algorithm for feature selection and white blood cell classificationdoi:10.1016/B978-0-12-819714-1.00022-1Deepak GuptaUtkarsh AgrawalJatin AroraAshish KhannaNature-Inspired Computation and Swarm Intelligence
Accordingly, this paper aims to improve the processing time, energy efficiency, load balancing, and task completion of IoT networks by introducing the IoT-mist bat-inspired algorithm (IMBA), which provides efficient resource optimisation and scheduling for IoT tasks. The proposed IMBA aims to ...
Bat algorithm (BA) is one of the promising metaheuristic algorithms. It proved its efficiency in dealing with various optimization problems in diverse fields, such as power and energy systems, economic load dispatch problems, engineering design, image processing and medical applications. Thus, this ...