Results 101 to 110 of about 46,149 (202)

Heat Transfer Search Algorithm for Sizing Optimization of Truss Structures

open access: yesLatin American Journal of Solids and 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]

open access: yes, 2018
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

open access: yes, 2012
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

open access: yesMathematics
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

open access: yesVan Yüzüncü Yıl Üniversitesi Mühendislik Fakültesi Dergisi, 2023
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  

Conservation planning in the Weddell Sea (Antarctica): A comparative analysis of decision‐support tools

open access: yesConservation Science and Practice, EarlyView.
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

PhishNet 1.0: optuna-optimized stacking ensemble with Boruta-based feature selection for phishing URL detection

open access: yesScientific Reports
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

open access: yesApplied Computer Science
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

Metaheuristic Optimization of Fractional Order Incremental Conductance (FO-INC) Maximum Power Point Tracking (MPPT)

open access: yesComplexity, 2019
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

A genetic algorithm simheuristic for solving the stochastic project portfolio selection problem with portfolio reliability constraints

open access: yesInternational Transactions in Operational Research, EarlyView.
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

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