Results 61 to 70 of about 5,089,183 (236)

Better approximation guarantees for the NSGA-II by using the current crowding distance

Annual Conference on Genetic and Evolutionary Computation, 2022
A recent runtime analysis (Zheng, Liu, Doerr (2022)) has shown that a variant of the NSGA-II algorithm can efficiently compute the full Pareto front of the OneMinMax problem when the population size is by a constant factor larger than the Pareto front ...
Weijie Zheng, Benjamin Doerr
semanticscholar   +1 more source

Integrating Recycling and Emission Reduction: A Business Strategy Analysis With Multi‐Objective Mixed‐Integer Linear Programming Framework for Optimising Sustainable Closed‐Loop Supply Chain Network Design

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

New search strategy for multi-objective evolutionary algorithm

Heliyon
To address the problem of low search efficiency of multi-objective evolutionary algorithm during iterations, we proposed a new idea which considering a single individual to generate better solutions in a single iteration as a starting point to improve ...
Liu Yuejun
doaj   +1 more source

Harnessing machine learning and optimization for informed chemical engineering decisions: A styrene reactor analysis

The Canadian Journal of Chemical Engineering, EarlyView.
This study shows that integrating multiple machine learning models with optimization and decision‐making improves chemical process design, and that a consensus‐based strategy across models provides more robust and reliable operating recommendations than any single model, especially under limited or noisy data conditions.
Farough Agin, Clémence Fauteux‐Lefebvre, Jules Thibault   +2 more
wiley   +1 more source

ارزیابی الگوریتم‌های ژنتیک و ازدحام ذرات با تکیه بر رویکرد مرتب‌سازی نامغلوب برای بهینه‌سازی چندهدفه بهره‌برداری از مخازن [PDF]

پژوهش‌های حفاظت آب و خاک, 2019
مسائل بهینه‌سازی بهره‌برداری از مخازن سدها از جمله مسائل مهم در علوم آب می باشد که تا کنون با انواع روش های بهینه‌سازی مورد بررسی قرار گرفته است. در سال‌های اخیر تعداد زیادی از الگوریتم‌های تکاملی چندهدفه معرفی شده است. از جمله این الگوریتم‌ها می‌توان به
ایدا شبانی بهلولی, مهدی دستورانی   +1 more
doaj   +1 more source

Experimental evaluation of meta-heuristics for multi-objective capacitated multiple allocation hub location problem

Engineering Science and Technology, an International Journal, 2022
Multi-objective capacitated multiple allocation hub location problem (MOCMAHLP) is a variation of classic hub location problem, which deals with network design, considering both the number and the location of the hubs and the connections between hubs and
İbrahim Demir, Berna Kiraz, Fatma Corut Ergin   +2 more
doaj   +1 more source

Infrastructure‐Constrained Pathways for Large‐Scale CO2 Mitigation via CCUS in China's Coal‐Fired Power Sector

Energy Science &Engineering, EarlyView.
This study develops a multi‐objective optimization framework to evaluate large‐scale carbon capture, utilization, and storage (CCUS) deployment in China's coal‐fired power sector. By jointly considering cost, net CO2 mitigation, and system robustness under infrastructure constraints, the analysis reveals Pareto‐optimal deployment patterns and ...
Linjie Fang, Xu Tang, Yuqing Jiang
wiley   +1 more source

Research on Multi-Objective Low-Carbon Flexible Job Shop Scheduling Based on Improved NSGA-II

Machines
To optimize the production scheduling of a flexible job shop, this paper, based on the NSGA-II algorithm, proposes an adaptive simulated annealing non-dominated sorting genetic algorithm II with enhanced elitism (ASA-NSGA-EE) that establishes a multi ...
Zheyue Mei, Yujun Lu, Liye Lv
semanticscholar   +1 more source

RWP‐NSGA II: Reinforcement Weighted Probabilistic NSGA II for Workload Allocation in Fog and Internet of Things Environment

International Journal of Distributed Sensor Networks
The explosion of the IoT and the immense increase in the number of devices around the world, as well as the desire to meet the quality of service in the best way possible, have challenged cloud computing. Fog computing has been introduced to reduce the distance between the IoT and the cloud and to process time‐sensitive tasks in an efficient and speedy
Hafsa Raissouli, Samir Brahim Belhaouari, Ahmad Alauddin Bin Ariffin   +2 more
openaire   +2 more sources

Land Use Spatial Optimization Based on Multi‐Objective Ant Colony Algorithm and FLUS Model: A Case Study of Korla City and Tiemenguan City, China

Land Degradation &Development, EarlyView.
ABSTRACT In southern Xinjiang, China, scarce land and water resources and fragile ecosystems have intensified land use conflicts, making land resource allocation optimization essential for sustainable development in arid oasis areas. Focusing on Korla and Tiemenguan, this study aims to coordinate economic benefits, ecological benefits, and food ...
Kaifa Zhang, Xiaojun Yin, Benhao Li, Keke Chang, Xinghai Zhang, Tao Deng   +5 more
wiley   +1 more source