15 papers · ranked by Valyu relevance
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…
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…
Cliff C. Kerr, Salvador Dura-Bernal, Tomasz G. Smolinski, George L. Chadderdon + 2 more
'George L. Chadderdon' 'David P. Wilson' 'Lars Kaderali'] When standard optimization methods fail to find a satisfactory solution for a parameter fitting problem, a tempting recourse is to adjust parameters manually. While tedious, this approach can be surprisingly powerful in terms of achieving optimal or near-optimal…
Zhihang Yue, Sen Zhang, Wendong Xiao
Grey wolf optimizer (GWO) is a meta-heuristic algorithm inspired by the hierarchy of grey wolves (Canis lupus). Fireworks algorithm (FWA) is a nature-inspired optimization method mimicking the explosion process of fireworks for optimization problems. Both of them have a strong optimal search capability. However, in…
Rafael Rodríguez-Puente, Manuel S Lazo-Cortés
The use of Geographic Information Systems has increased considerably since the eighties and nineties. As one of their most demanding applications we can mention shortest paths search. Several studies about shortest path search show the feasibility of using graphs for this purpose. Dijkstra’s algorithm is one of the…
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'…
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…
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…
Ricardo Villanueva-Polanco
In this paper, we will study the key enumeration problem, which is connected to the key recovery problem posed in the cold boot attack setting. In this setting, an attacker with physical access to a computer may obtain noisy data of a cryptographic secret key of a cryptographic scheme from main memory via this data…
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…
Roberto Grossi, Costas S. Iliopoulos, Robert Mercas, Nadia Pisanti + 3 more
During the production process for this article , Theorem 1 in the ‘Algorithms’ section and Example 7 in the ‘Implementation’ section were formatted incorrectly. These have been updated and the corrected versions can now be found in the original article .