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  1. Towards robust automated math problem solving: a survey of statistical and deep learning approaches

    Automated mathematical problem-solving represents a unique intersection of natural language processing (NLP) and mathematical reasoning, posing...

    Amrutesh Saraf, Pooja Kamat, ... Ketan Kotecha in Evolutionary Intelligence
    Article 08 July 2024
  2. Understanding Fire and Rescue Service Practices Through Problems and Problem-Solving Networks: An Analysis of a Critical Incident

    This study explores how the Fire and Rescue Service can better prepare for solving complex problems in emergencies by using the concept of problems...

    Lotta Vylund, Tove Frykmer, ... Kerstin Eriksson in Fire Technology
    Article Open access 10 May 2024
  3. Solving the vehicle routing problem via quantum support vector machines

    The vehicle routing problem (VRP) is an example of a combinatorial optimization problem that has attracted academic attention due to its potential...

    Nishikanta Mohanty, Bikash K. Behera, Christopher Ferrie in Quantum Machine Intelligence
    Article Open access 06 June 2024
  4. Introduction of RCA pyramid model: a problem solving tool to achieve business excellence

    This paper explores into the intricacies of decision-making within organizational contexts, highlighting the challenges inherent in the process....

    Article 18 June 2024
  5. Designing an ACS by Applying Galvanic Coatings Based on Solving the Optimization Problem

    Abstract

    An automated control system for the technological process of applying galvanic coatings to a variety of cathode parts of various shapes and...

    A. A. Bannikov, Yu. V. Litovka, ... K. I. Sypalo in Journal of Computer and Systems Sciences International
    Article 01 April 2023
  6. Novel analytical STFT expressions for nonlinear power engineering problem solving

    Special tran function theory (STFT) is a powerful nonlinear problem-solving tool. In this paper, four different nonlinear power engineering problems...

    Martin Ćalasan in Journal of Computational Electronics
    Article 09 February 2024
  7. A decoupling method for solving the multi-agent path finding problem

    Many existing multi-agent path finding (MAPF) solvers focus on completeness, speed, or optimization. However, completeness and rapidity are usually...

    Bin Liao, Shenrui Zhu, ... **nlin Qing in Complex & Intelligent Systems
    Article Open access 31 May 2023
  8. Problem Solving

    This chapter introduces some useful tools for Root Cause Analysis (RCA) and selection of optimum solutions, and aims to anticipate risks and...
    David Lapesa Barrera in Aircraft Maintenance Programs
    Chapter 2022
  9. Solving a one-dimensional moving boundary problem based on wave digital principles

    We report on a novel method for solving one-dimensional moving boundary problems based on wave digital principles. Here, we exploit multidimensional...

    Bakr Al Beattie, Karlheinz Ochs in Multidimensional Systems and Signal Processing
    Article Open access 24 July 2023
  10. Soft Computing for Problem Solving Proceedings of the SocProS 2022

    This book provides an insight into the 11th International Conference on Soft Computing for Problem Solving (SocProS 2022). This international...

    Manoj Thakur, Samar Agnihotri, ... Atulya K. Nagar in Lecture Notes in Networks and Systems
    Conference proceedings 2023
  11. NERS_HEAD: a new hybrid evolutionary algorithm for solving graph coloring problem

    The graph coloring problem is an NP-hard problem. Currently, one of the most effective methods to solve this problem is a hybrid evolutionary...

    ** Guo, Bin Guo in Soft Computing
    Article 16 May 2023
  12. Efficient non-iterative multi-point method for solving the Riemann problem

    In computational fluid dynamics (CFD), the Riemann problem is vital for precise fluid flow calculations as it involves the accurate computation of...

    Yi Han Toh in Nonlinear Dynamics
    Article 07 February 2024
  13. A mathematical method for solving multi-depot vehicle routing problem

    Because logistics companies usually have multiple depots to serve their many dispersed customers, multi-depot vehicle routing problem (MDVRP) has...

    Fang wan, Haixiang Guo, ... Shengli Chen in Soft Computing
    Article 09 July 2023
  14. A Norm-Minimization Algorithm for Solving the Lost-in-Space Problem with XNAV

    An algorithm is presented for solving the lost-in-space problem using simultaneous observations of X-ray pulsars. Using a norm-minimization-based...

    Linyi Hou, Zachary R. Putnam in The Journal of the Astronautical Sciences
    Article 12 January 2024
  15. Engineering Problem-Solving

    You are becoming an engineer to become a problem solver. That is why employers will hire you. Since problem-solving is an essential portion of the...
    Chapter 2022
  16. Design and calibration of a DRL algorithm for solving the job shop scheduling problem under unexpected job arrivals

    This paper proposes a Deep Reinforcement Learning(DRL)—based approach to solve the real-time Job Shop Scheduling Problem (JSSP) facing unexpected job...

    Nour El Houda Hammami, Benoit Lardeux, ... Maher Jridi in Flexible Services and Manufacturing Journal
    Article 19 May 2024
  17. Solving epistemic uncertainty based optimization problem with crisp coefficients

    Optimization problem such as linear programming problem under epistemic uncertainty for instance fuzzy has been studied in this paper. Here,...

    Article 14 January 2024
  18. Analysis of Various GNNs in Solving MaxCut Problem

    Extraction of information from graph data is essential since most data in the real world are dynamic, large, and without fixed structure, unlike...
    Conference paper 2024
  19. Challenging Programming in Python: A Problem Solving Perspective

    This book aims to strengthen programming skills and foster creative thinking by presenting and solving 90 challenging problems. The book is intended...

    Habib Izadkhah, Rashid Behzadidoost
    Textbook 2024
  20. Intelligent problem-solving as integrated hierarchical reinforcement learning

    According to cognitive psychology and related disciplines, the development of complex problem-solving behaviour in biological agents depends on...

    Manfred Eppe, Christian Gumbsch, ... Stefan Wermter in Nature Machine Intelligence
    Article 25 January 2022
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