Results 241 to 250 of about 72,290 (269)
Some of the next articles are maybe not open access.
A New Bat Based Back-Propagation (BAT-BP) Algorithm
2014Metaheuristic algorithm such as BAT algorithm is becoming a popular method in solving many hard optimization problems. This paper investigates the use of Bat algorithm in combination with Back-propagation neural network (BPNN) algorithm to solve the local minima problem in gradient descent trajectory and to increase the convergence rate.
Nazri Mohd Nawi +2 more
openaire +1 more source
Modified bat algorithm with quaternion representation
2015 IEEE Congress on Evolutionary Computation (CEC), 2015This paper introduces a modified bat algorithm using quaternion representation of individuals. Quaternions are a number system, which extends complex numbers. They are successfully applied to problems of theoretical physics and to those areas needing fast rotation calculations.
Iztok Fister 0001 +3 more
openaire +1 more source
Enhanced shuffled bat algorithm (EShBAT)
2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2016Bat Algorithm (BA) is a simple and effective global optimization algorithm which has been applied to a wide range of real-world optimisation problems. Various extensions to Bat algorithm have been proposed in the past; prominent amongst them being ShBAT. ShBAT is a hybrid between BA and Shuffled Frog Leaping Algorithm-SFLA; a memetic algorithm based on
Reshu Chaudhary, Hema Banati
openaire +1 more source
Cultural Bat Optimization Algorithm: An Improved Variant of Bat Algorithm
2022 IEEE Nigeria 4th International Conference on Disruptive Technologies for Sustainable Development (NIGERCON), 2022K. A. Amalo +2 more
openaire +1 more source
Batting order optimization by genetic algorithm
Proceedings of the 14th annual conference companion on Genetic and evolutionary computation, 2012Baseball has been widely studied in various ways, including math and statistics. In a baseball game, an optimized batting order helps the team achieves greater number of runs in a season. This paper introduces a method that combines a genetic algorithm with a statistical simulation to identify a non-optimal batting order.
openaire +1 more source
Study of Parameter Sensitivity on Bat Algorithm
2017Heuristics and metaheuristics are known to be sensitive to input parameters. Bat algorithm (BA), a recent optimization metaheuristic, has a great number of input parameters that need to be adjusted in order to increase the quality of the results. Despites the crescent number of works with BA in literature, to the best of our knowledge, there is no work
Iago Augusto de Carvalho +4 more
openaire +1 more source
A novel modified bat algorithm hybridizing by differential evolution algorithm
Expert Systems With Applications, 2020Gülnur Yildizdan, Omer Kaan Baykan
exaly