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Solving the cost minimization problem of optimal reactive power dispatch in a renewable energy integrated distribution system using rock hyraxes swarm optimization
The optimal reactive power dispatch problem optimizes the shunt capacitor bank installation in distribution systems, reducing power loss and also...
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Solving an Intelligent Scheduling Problem in an Automobile Factory
The research on intelligent manufacturing is divided into two parts, namely equipment intelligence and decision-making system intelligence. In the...
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An iterative recommendation model of supporting personalized learning based on schematic patterns mining from schema-enhanced contexts of problem-solving
Based on schema-enhanced formal concept analysis and three-way decisions theory, this paper develops a method of supporting personalized learning by...
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Generative approaches for solving tangram puzzles
The Tangram is a dissection puzzle composed of seven polygonal pieces that can form different patterns. Solving the Tangram is an irregular shape...
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Solving the FPGA Routing Problem Using the Model of an Extended Mixed Routing Graph
AbstractAn architecture-aware extended mixed routing graph model allows describing the features of the routing resources of modern field-programmable...
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Deep Reinforcement Learning for Solving Multi-objective Vehicle Routing Problem
This paper presents a novel app roach for solving the multi-objective vehicle routing problem (MOVRP) using deep reinforcement learning. The MOVRP...
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Solving a Vehicle Routing Problem for a Real-Life Parcel Locker-Based Delivery
In this paper a problem modeled after a real-life system of delivering orders to parcel lockers is considered. The problem is formulated as an...
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Stochastic operating room scheduling: a new model for solving problem and an approach for determining the factors that affect operation time variations
The most common situation encountered in the operating room scheduling is the uncertainty of operation times. This situation may cause the operations...
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A Performance Comparison Among Intelligent Algorithms for Solving Capacitated Vehicle Routing Problem
For better solving vehicle routing problem (VRP), the solution processes of three algorithms including ant colony, particle swarm optimization and...
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CoCAT: a new similarity coefficient for solving the machine-part cell formation problem
This paper presents a new similarity measure (CoCAT) for finding the machine-part cells from the machine-part incidence matrix. When compared with...
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A generalized parametric approach for solving different fuzzy parameter based multi-objective transportation problem
This research article presents a novel two-step generalized parametric approach to address various fuzzy parameter-based multi-objective...
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A four-stage strategy for solving AC transmission expansion planning problem in large power system based on differential evolution algorithm and teaching–learning-based optimization algorithm
AC transmission expansion planning (ACTEP) is one of the most critical issues in electric power system expansion planning. In existing research on...
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Solving the Capacitated Vehicle Routing Problem (CVRP) Using Clustering and Meta-heuristic Algorithm
The capacitated vehicle routing problem (CVRP) is a significant topic in distribution networks. CVRP is essentially a subset of the vehicle routing...
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Enhancing Learning Activities Using Innovation Based Problem-Solving Process in Promoting Practical Skills of Electrical Technology
This paper presents the development of learning activities using innovative problem-solving processes to promote practical skills in electrical...
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A New Version of Artificial Rabbits Optimization for Solving Complex Bridge Network Optimization Problem
In recent years, meta-heuristic optimizers have been essential tools for solving real-world problems in many fields, such as engineering, science,...
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An Improved Ant Colony Optimization for Solving Task Scheduling Problem in Radar Signal Processing System
In order to solve the problem of low efficiency and high error rate in the manual establishment of the logical relationship map** table, this paper...
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Comparative study of typical neural solvers in solving math word problems
In recent years, there has been a significant increase in the design of neural network models for solving math word problems (MWPs). These neural...
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Solving Design Problems
This chapter introduces the differences between analysis and design, various types of design problems and a general problem solving methodology....
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A hybrid metaheuristic method for solving resource constrained project scheduling problem
Resource constrained project scheduling problem (RCPSP) is a renowned variant of the scheduling problem. RCPSP is very important in production and...
