Results 41 to 50 of about 5,017 (229)
Advanced Intelligent Systems, EarlyView.An AI‐enabled micromixing framework is developed by integrating cGAN with Bayesian optimization for predictive control of microrobot‐driven flow manipulation. Through this framework, the spatiotemporal evolution of micromixing is learned directly from experimental images, while rapid identification of optimized microrobot actuation strategies is ...
Dineshkumar Loganathan, Chia‐Yuan Chen
wiley +1 more source
Putting Continuous Metaheuristics to Work in Binary Search Spaces
Complexity, 2017 In the real world, there are a number of optimization problems whose search space is restricted to take binary values; however, there are many continuous metaheuristics with good results in continuous search spaces.
Broderick Crawford +5 more
doaj +1 more source
An Enhanced Firefly Algorithm for Time Shared Grid Task Scheduling
Applied Artificial Intelligence, 2021 Grid computing is a computational paradigm that emerged to handle the increasing demand for computational resources. Several metaheuristics methods have been applied to tackle the grid task scheduling problem.
Adil Yousif
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AI &Innovation, EarlyView.ABSTRACT The detection and classification of diseases have become a field of interest for artificial intelligence in recent years, where the development of methods and models that allow support for specialists in different health fields has allowed early detection of diseases and the provision of timely treatment to patients.
Rodrigo Cordero‐Martínez +2 more
wiley +1 more source
Single-Objective Surrogate Models for Continuous Metaheuristics: An Overview
Applied SciencesThis paper presents a comprehensive overview of single-objective surrogate models for continuous metaheuristics, addressing computationally expensive optimization problems.
Konrad Krawczyk, Jarosław Arabas
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AI &Innovation, EarlyView.ABSTRACT Maintaining an effective balance between exploration and exploitation is essential during optimization processes, from mathematical functions to more complex problems such as constrained engineering design optimization, particularly when addressing highly nonlinear issues with numerous local optima and strict feasibility requirements.
Enrique Lizárraga +3 more
wiley +1 more source
TOWARDS A UNIFIED VIEW OF METAHEURISTICS
Croatian Operational Research Review, 2013 This talk provides a complete background on metaheuristics and presents in a unified view the main design questions for all families of metaheuristics and clearly illustrates how to implement the algorithms under a software framework to reuse both the ...
El-Ghazali Talbi
doaj
Metaheuristics: A Review of Algorithms
International Journal of Online and Biomedical Engineering (iJOE), 2023 In science and engineering, many optimization tasks are difficult to solve, and the core concern these days is to apply metaheuristic (MH) algorithms to solve them. Metaheuristics have gained significant attention in recent years, with nature serving as the fundamental inspiration where self-organization property led to collective intelligence emerging
Haval Tariq Sadeeq +1 more
openaire +1 more source
Business Strategy and the Environment, EarlyView.ABSTRACT This study demonstrates how a profitable, lean, and environmentally responsible e‐waste reverse logistics system can be designed using integrated Operations Research (OR) techniques. Addressing the growing urgency of responsible consumption (UN SDG 12) and the projected rise of the e‐waste sector to USD 137.60 billion by 2029, the research ...
Sheeba Pathak, Hajar Fatorachian
wiley +1 more source
Business Strategy and the Environment, EarlyView.ABSTRACT This research develops an integrated mixed‐integer linear programming (MILP) model for closed‐loop supply chain network design that optimises competing economic and environmental objectives including profit maximisation, supplier quality improvement and CO2 emission reduction.
Reza Eslamipoor
wiley +1 more source