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AI Alignment Versus AI Ethical Treatment: 10 Challenges
Analytic Philosophy, EarlyView.ABSTRACT A morally acceptable course of AI development should avoid two dangers: creating unaligned AI systems that pose a threat to humanity and mistreating AI systems that merit moral consideration in their own right. This paper argues these two dangers interact and that if we create AI systems that merit moral consideration, simultaneously avoiding ...
Adam Bradley, Bradford Saad
wiley +1 more source
Diagnostic Value of In Vitro Tests for Peanut Allergy in Children Without Clinical Exposure: A High-Specificity Rule-In Decision Pathway-Preliminary Findings from a Single-Center Study in Polish Children. [PDF]
Children (Basel)Tworowska J +3 more
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Testing a bat fatality detection system at wind turbines. [PDF]
PLoS OneWeaver SP +4 more
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Real time dynamic adhesion coefficient estimation and BP neural network optimized lateral stability control for distributed drive electric vehicles. [PDF]
Sci RepZhou Z, Yang R, Xu F, Shen W.
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Neural Computing and Applications, 2013
Bat algorithm (BA) is one of the recently proposed heuristic algorithms imitating the echolocation behavior of bats to perform global optimization. The superior performance of this algorithm has been proven among the other most well-known algorithms such as genetic algorithm (GA) and particle swarm optimization (PSO).
Mirjalili, Seyedali +2 more
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Bat algorithm (BA) is one of the recently proposed heuristic algorithms imitating the echolocation behavior of bats to perform global optimization. The superior performance of this algorithm has been proven among the other most well-known algorithms such as genetic algorithm (GA) and particle swarm optimization (PSO).
Mirjalili, Seyedali +2 more
openaire +2 more sources
Journal of Computational Science, 2014
Abstract Bat algorithm (BA) is a recent metaheuristic optimization algorithm proposed by Yang. In the present study, we have introduced chaos into BA so as to increase its global search mobility for robust global optimization. Detailed studies have been carried out on benchmark problems with different chaotic maps.
Amir H. Gandomi, Xin-She Yang
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Abstract Bat algorithm (BA) is a recent metaheuristic optimization algorithm proposed by Yang. In the present study, we have introduced chaos into BA so as to increase its global search mobility for robust global optimization. Detailed studies have been carried out on benchmark problems with different chaotic maps.
Amir H. Gandomi, Xin-She Yang
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A Comparative Study of Improved Bat Algorithm and Bat Algorithm on Numerical Benchmarks
2015 4th International Conference on Advanced Computer Science Applications and Technologies (ACSAT), 2015Optimization is employed in solutions of many problems today. Optimization is described as finding the most suitable alternative among many others under the given constraints. Meta-heuristic algorithms used in solutions of the problems are developed upon the behaviors of living creatures in the nature.
Beskirli, Mehmet, Koc, Ismail
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Bat algorithm: Recent advances
2014 IEEE 15th International Symposium on Computational Intelligence and Informatics (CINTI), 2014The bat algorithm (BA) is a nature-inspired algo-rithm, which has recently been applied in many applications. BA can deal with both continuous optimization and discrete optimization problems. The literature has expanded significantly in the past few years, this paper provides a timely review of the latest developments. We also highlight some topics for
Iztok Fister +4 more
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Bat Algorithm and Directional Bat Algorithm with Case Studies
2017In recent years, the Bat Algorithm (BA) is becoming a standard optimization tool used by scientists and engineers to solve many problems in different engineering fields. One of the most important characteristics of the bat algorithm is its easy, comprehensible structure which simplifies the computer implementation, in addition to its ability to obtain ...
Asma Chakri, Haroun Ragueb, Xin-She Yang
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2014
Addressing to the computational requirements of the hardware devices with limited resources such as memory size or low price is critical issues. This paper, a novel algorithm, namely compact Bat Algorithm (cBA), for solving the numerical optimization problems is proposed based on the framework of the original Bat algorithm (oBA).
Thi-Kien Dao +4 more
openaire +1 more source
Addressing to the computational requirements of the hardware devices with limited resources such as memory size or low price is critical issues. This paper, a novel algorithm, namely compact Bat Algorithm (cBA), for solving the numerical optimization problems is proposed based on the framework of the original Bat algorithm (oBA).
Thi-Kien Dao +4 more
openaire +1 more source