Results 241 to 250 of about 3,624,996 (285)
Some of the next articles are maybe not open access.
A Mayfly Optimization Algorithm
Computers and Industrial Engineering, 2020Abstract This paper introduces a new method called the Mayfly Algorithm (MA) to solve optimization problems. Inspired from the flight behavior and the mating process of mayflies, the proposed algorithm combines major advantages of swarm intelligence and evolutionary algorithms.
Stelios Tsafarakis +1 more
exaly +3 more sources
Signal Processing, 2009
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jimin Ye +3 more
openaire +3 more sources
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jimin Ye +3 more
openaire +3 more sources
Expert Systems with Applications, 2014
In this article, a new evolutionary algorithm, Forest Optimization Algorithm (FOA), suitable for continuous nonlinear optimization problems has been proposed. It is inspired by few trees in the forests which can survive for several decades, while other trees could live for a limited period.
Manizheh Ghaemi +1 more
openaire +2 more sources
In this article, a new evolutionary algorithm, Forest Optimization Algorithm (FOA), suitable for continuous nonlinear optimization problems has been proposed. It is inspired by few trees in the forests which can survive for several decades, while other trees could live for a limited period.
Manizheh Ghaemi +1 more
openaire +2 more sources
The tornadogenesis optimization algorithm
2017 IEEE 16th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC), 2017The Tornadogenesis Optimization Algorithm (TOA), a new air mass population based meta-heuristic optimization (MHO) algorithm is devised in this paper. Implementation of TOA has taken its root from the formation of tornadoes, particularly at Oklahoma State of United States.
Ravi Kumar Saidala, Nagaraju Devarakonda
openaire +2 more sources
2006 International Conference on Computational Intelligence and Security, 2006
A novel algorithm called seeker optimization algorithm (SOA) for the real-parameter optimization is proposed in this paper. SOA is based on the concept of simulating the act of human randomized search. In the SOA, after given center point, search direction, search radius, and trust degree, every seeker moves to a new position (next solution) from his ...
Chaohua Dai, Yunfang Zhu, Weirong Chen
openaire +2 more sources
A novel algorithm called seeker optimization algorithm (SOA) for the real-parameter optimization is proposed in this paper. SOA is based on the concept of simulating the act of human randomized search. In the SOA, after given center point, search direction, search radius, and trust degree, every seeker moves to a new position (next solution) from his ...
Chaohua Dai, Yunfang Zhu, Weirong Chen
openaire +2 more sources
A Conic Algorithm for Optimization
SIAM Journal on Scientific and Statistical Computing, 1985This paper describes a method that will minimize a conic function f in n steps, where n is the dimension of the domain of f. The algorithm can be considered a generalization of the conjugate gradient method, and has similar orthogonality properties. Some error bounds are given and the numerical stability of the algorithm is discussed.
Gourgeon, Hervé, Nocedal, Jorge
openaire +1 more source
The Whale Optimization Algorithm
Advances in Engineering Software, 2016The Whale Optimization Algorithm inspired by humpback whales is proposed.The WOA algorithm is benchmarked on 29 well-known test functions.The results on the unimodal functions show the superior exploitation of WOA.The exploration ability of WOA is confirmed by the results on multimodal functions.The results on structural design problems confirm the ...
Andrew Lewis, Seyedali Mirjalili
exaly +3 more sources
Applied Soft Computing Journal, 2011
In this paper a novel evolutionary algorithm, suitable for continuous nonlinear optimization problems, is introduced. This optimization algorithm is inspired by the life of a bird family, called Cuckoo. Special lifestyle of these birds and their characteristics in egg laying and breeding has been the basic motivation for development of this new ...
exaly +2 more sources
In this paper a novel evolutionary algorithm, suitable for continuous nonlinear optimization problems, is introduced. This optimization algorithm is inspired by the life of a bird family, called Cuckoo. Special lifestyle of these birds and their characteristics in egg laying and breeding has been the basic motivation for development of this new ...
exaly +2 more sources
ALGORITHMS, LEARNING, AND OPTIMIZATION
2020This thesis covers some algorithmic aspects of online machine learning and optimization. In Chapter 1 we design algorithms with state-of-the-art regret guarantees for the problem dynamic pricing. In Chapter 2 we move on to an asynchronous online learning setting in which only some of the agents in the network are active at each time step.
openaire +1 more source
Virulence Optimization Algorithm
Applied Soft Computing, 2016A novel method of optimization inspired by optimal mechanism of viruses when infecting body cells.Simulates the recognition of fittest viruses, reproduction of cells to prompt "invasion" operation and escaping from infected region (to avoid immune reaction).It starts the optimization process with an initial population consisting of viruses and host ...
Morteza Jaderyan, Hassan Khotanlou
openaire +1 more source