Multi-objective Optimization and its Engineering Applications [PDF]
, 2005 Many practical optimization problems usually have several conflicting objectives. In those multi-objective optimization, no solution optimizing all objective functions simultaneously exists in general.
Nakayama, Hirotaka
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Methods That Optimize Multi-Objective Problems: A Survey and Experimental Evaluation
IEEE Access, 2020 Most current multi-optimization survey papers classify methods into broad objective categories and do not draw clear boundaries between the specific techniques employed by these methods.
Kamal Taha
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Multi‐objective optimization of cordon sanitaire with vehicle waiting time constraint
IET Intelligent Transport Systems, 2021 The outbreak of COVID‐19 has disrupted our regular life. Many local authorities have enforced a cordon sanitaire for the protection of sensitive areas. Travelers can only travel across the cordon after getting qualified.
Hongzhi Lin
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Real ant colony optimization as a tool for multi-criteria problems
Computer Assisted Methods in Engineering and Science, 2017 This paper presents a population-based heuristic method - a real ant colony optimization (RACO) as a tool for multi-criteria optimization problems. The idea of multi-criteria optimization is discussed and the necessary modifications of RACO are proposed.
Iwona Nowak, Grzegorz Nowak
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Multi-objective routing optimization using evolutionary algorithms [PDF]
, 2012 Wireless ad hoc networks suffer from several limitations, such as routing failures, potentially excessive bandwidth requirements, computational constraints and limited storage capability. Their routing strategy plays a significant role in determining the
Cheung, Kent Tsz Kan +5 more
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Guiding model‐driven combination dose selection using multi‐objective synergy optimization
CPT: Pharmacometrics & Systems Pharmacology, 2023 Despite the growing appreciation that the future of cancer treatment lies in combination therapies, finding the right drugs to combine and the optimal way to combine them remains a nontrivial task. Herein, we introduce the Multi‐Objective Optimization of
Jana L. Gevertz, Irina Kareva
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Multi-Objective Optimization using Artificial Intelligence Techniques
, 2020 This book focuses on the most well-regarded and recent nature-inspired algorithms capable of solving optimization problems with multiple objectives. Firstly, it provides preliminaries and essential definitions in multi-objective problems and different ...
Dong, Jin Song, Mirjalili, Seyedali
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A Tutorial on Evolutionary Multi-Objective Optimization (EMO) [PDF]
, 2005 Many real-world search and optimization problems are naturally posed as non-linear programming problems having multiple objectives. Due to lack of suitable solution techniques, such problems are artificially converted into a single-objective problem
Deb, Kalyanmoy
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Comparative Study of Ant Colony Algorithms for Multi-Objective Optimization
Information, 2018 In recent years, when solving MOPs, especially discrete path optimization problems, MOACOs concerning other meta-heuristic algorithms have been used and improved often, and they have become a hot research topic.
Jiaxu Ning +3 more
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Hybrid behavioural-based multi-objective space trajectory optimization
, 2009 In this chapter we present a hybridization of a stochastic based search approach for multi-objective optimization with a deterministic domain decomposition of the solution space.
Vasile, M., Vasile, Massimiliano
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