16 papers · ranked by Valyu relevance
Edward A. Lee
“Rationality” in Simon's “bounded rationality” is the principle that humans make decisions on the basis of step-by-step (algorithmic) reasoning using systematic rules of logic to maximize utility. “Bounded rationality” is the observation that the ability of a human brain to handle algorithmic complexity and large…
Ralph Hertwig, Stefan M. Herzog, Anastasia Kozyreva
Inequalities and injustices are thorny issues in liberal societies, manifesting in forms such as the gender-pay gap; sentencing discrepancies among Black, Hispanic, and White defendants; and unequal medical-resource distribution across ethnicities. One cause of these inequalities is implicit social bias-unconsciously…
Hiroki Takizawa, Jiachen Yang
Pure strategy board games such as chess are popular intellectual activities, and solving them is a challenging task in computer science. In addition to traditional games, many new board games have gained popularity in recent years. Ostle is one such unsolved game published in 2017. It is based on simple rules but is…
Zongchao Wei
At present, e-commerce drives the logistics industry to develop greatly, but at the same time, there is a huge demand in this field, such as lower cost and higher efficiency. Facing the needs of logistics management development, it needs the blessing of intelligent technology, which involves countless fields at…
Doaa Sami Khafaga, Abdelhameed Ibrahim, El-Sayed M. El-Kenawy, Abdelaziz A. Abdelhamid + 9 more
'Abdelaziz A. Abdelhamid' 'Faten Khalid Karim' 'Seyedali Mirjalili' 'Nima Khodadadi' 'Wei Hong Lim' 'Marwa M. Eid' 'Mohamed E. Ghoneim' 'Sameer Antani' 'Azhar Zam' 'Esa Prakasa'] Human skin diseases have become increasingly prevalent in recent decades, with millions of individuals in developed countries experiencing…
Timothy H. Lehmann
The aim of this study is to examine how algorithmatizing tasks engage mathematics students in algorithmic thinking. Structured, task-based interviews were conducted with eight Year 12 students as they completed a sequence of algorithmatizing tasks involving maximum flow problems. A deductive-inductive analytical…
Yuyong Tan, Jianfeng Wang, Bin Wang, Yongquan Zhou
The intelligent optimization algorithm has become a key tool in complex and intertwined engineering and science fields. However, with the increasing complexity of the problem and the rapid expansion of the data scale, the performance of the algorithm has been challenged unprecedentedly. The artificial lemming algorithm…
Mohammad Reza Sharifi, Saeid Akbarifard, Mohamad Reza Madadi, Kourosh Qaderi + 1 more
The use of evolutionary algorithms (EAs) for solving complex engineering problems has been very promising, so the application of EAs for optimal operation of hydropower reservoirs can be of great help. Accordingly, this study investigates the capability of 14 recently-introduced robust EAs in optimization of energy…
Daniel J. Mankowitz, Andrea Michi, Anton Zhernov, Marco Gelmi + 26 more
'Marco Selvi' 'Cosmin Paduraru' 'Edouard Leurent' 'Shariq Iqbal' 'Jean-Baptiste Lespiau' 'Alex Ahern' 'Thomas Köppe' 'Kevin Millikin' 'Stephen Gaffney' 'Sophie Elster' 'Jackson Broshear' 'Chris Gamble' 'Kieran Milan' 'Robert Tung' 'Minjae Hwang' 'Taylan Cemgil' 'Mohammadamin Barekatain' 'Yujia Li' 'Amol Mandhane'…
Elzbieta Gawronska, Maria Zych, Robert Dyja, Grzegorz Domek
The article shows the usage of swarming algorithms for reconstructing the heat transfer coefficient regarding the continuity boundary condition. Numerical calculations were performed using the authors’ own application software with classical forms of swarm algorithms implemented. A functional determining error of the…
Akram Y. Sarhan, Loai Kayed B. Melhim, Mahdi Jemmali, Faycel El Ayeb + 3 more
'Hadeel Alharbi' 'Ameen Banjar' 'Željko Stević'] Logistics and sourcing management are core in any supply chain operation and are among the critical challenges facing any economy. The specialists classify transport operations and warehouse management as two of the biggest and costliest challenges in logistics and…
Kun Tu, Dariusz Puchala, Jun Chen, Sadaf Salehkalaibar
In this paper, we address the problem of m-gram entropy variable-to-variable coding, extending the classical Huffman algorithm to the case of coding m-element (i.e., m-grams) sequences of symbols taken from the stream of input data for $m>1$. We propose a procedure to enable the determination of the frequencies of the…
Cuicui Cai, Chaochuan Jia, Yao Nie, Jinhong Zhang + 2 more
'Yangming Li'] Path planning is a critical technology that could help mobile robots accomplish their tasks quickly. However, some path planning algorithms tend to fall into local optimum in complex environments. A path planning method using a modified Harris hawks optimization (MHHO) algorithm is proposed to address…
Mohammad Abdur Rob, Md. Zakir Hossen, Md. Kamal Hossen, Md. Mithun Ali + 2 more
Sorting algorithms play a crucial role in computing, but most are designed with rigid structure that are only efficient under certain conditions. Although some sorting algorithms perform well in some circumstances, they do not perform well on some resistant platforms. This study introduces Wall-L Merge Sort, which…
Yu Liu, Maosheng Fu, Chaochuan Jia, Zhengyu Liu + 5 more
Unmanned aerial vehicle path planning faces multiple challenges in terms of effectiveness and safety. Traditional optimization methods are difficult to use to effectively find the best route. An enhanced artificial lemming optimization algorithm (ALAEN) is proposed here, which introduces stochastic differential…
Wen Sun, Jin-Kao Hao, Zihao Wu, Wenlong Li + 2 more
'Thomas Stützle'] Given a directed graph G = (V, E), a feedback vertex set is a vertex subset C whose removal makes the graph G acyclic. The feedback vertex set problem is to find the subset C* whose cardinality is the minimum. As a general model, this problem has a variety of applications. However, the problem is…