Results 101 to 110 of about 46,149 (202)
Heat Transfer Search Algorithm for Sizing Optimization of Truss Structures
Heat transfer search (HTS) is a novel metaheuristic optimization algorithm that simulates the laws of thermodynamics and heat transfer. In this study, the HTS algorithm is adapted to truss structure optimization.
S.O. Degertekin +2 more
doaj +1 more source
Current Trends in Simheuristics: from smart transportation to agent-based simheuristics [PDF]
Simheuristics extend metaheuristics by adding a simulation layer that allows the optimization component to deal efficiently with scenarios under uncertainty.
Estrada-Moreno, Alejandro +4 more
core
A collaborative ant colony metaheuristic for distributed multi-level lot-sizing
The paper presents an ant colony optimization metaheuristic for collaborative planning. Collaborative planning is used to coordinate individual plans of self-interested decision makers with private information in order to increase the overall benefit of ...
Buer, Tobias +2 more
core +1 more source
Multi-Strategy Enhanced Crested Porcupine Optimizer: CAPCPO
Metaheuristic algorithms are widely used in engineering problems due to their high efficiency and simplicity. However, engineering challenges often involve multiple control variables, which present significant obstacles for metaheuristic algorithms.
Haijun Liu +9 more
doaj +1 more source
Metaheuristic Algorithms Based PID Controller Tuning Approach for Inverted Pendulum System
Proportional, integral, derivative (PID) controllers, also known as proportional integral derivative controllers, are frequently used to regulate system outputs. PID parameter settings have a significant impact on system performance.
Ahmet Sadık Duru
doaj
We compare simulated annealing (SA, Marxan) and integer linear programming (ILP, prioritizr) to evaluate their performance in developing spatial conservation priorities for the proposed Weddell Sea Marine Protected Area Phase 1. While both approaches identify largely overlapping priority areas, ILP consistently produces more compact and cost‐efficient ...
Katharina Teschke +2 more
wiley +1 more source
The objective of this research is to enhance phishing detection through ensemble learning integrated with well-structured metaheuristic algorithms. Various classifiers, including Logistic Regression, Nearest Neighbors, Support Vector Machine, Decision ...
Achin Jain +7 more
doaj +1 more source
A comprehensive review of metaheuristic algorithms for mobile robot path planning
Path planning and optimization are essential topics in robotics because they directly affect the effectiveness and safety of robot navigation. The application of metaheuristic methods and algorithms in the field of robot motion planning has attracted ...
Sheren SADIQ, Araz ABRAHIM, Haval SADEEQ
doaj +1 more source
This paper seeks to improve the photovoltaic (PV) system efficiency using metaheuristic, optimized fractional order incremental conductance (FO-INC) control.
Hossam Hassan Ammar +3 more
doaj +1 more source
Abstract In response to the increasing complexity of modern products, dynamic markets, and intensified competition, project‐based organizations are actively seeking methodologies to efficiently manage their expanding project portfolios. This paper analyzes the project portfolio selection problem in uncertain environments. Despite recent advances in the
Miguel Saiz +3 more
wiley +1 more source

