Results 231 to 240 of about 75,350 (240)

Reformulating Branch Coverage as a Many-Objective Optimization Problem

2015 IEEE 8th International Conference on Software Testing, Verification and Validation (ICST), 2015
Test data generation has been extensively investigated as a search problem, where the search goal is to maximize the number of covered program elements (e.g., branches). Recently, the whole suite approach, which combines the fitness functions of single branches into an aggregate, test suite-level fitness, has been demonstrated to be superior to the ...
Annibale Panichella, Fitsum Meshesha Kifetew, Paolo Tonella   +2 more
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A New Visualization Tool in Many-Objective Optimization Problems

2016
During the past decade, development in the field of multi-objective optimization (MOO) and multi-criteria decision-making (MCDM) has led to the so-called many-objective optimization problems (many-MOO), which involve from half a dozen to a few dozens of simultaneous objectives.
Roozbeh Haghnazar Koochaksaraei, Rasul Enayatifar, Frederico Gadelha Guimarães   +2 more
openaire   +1 more source

Learning Decision Variables in Many-Objective Optimization Problems

IEEE Latin America Transactions, 2023
Artur Leandro da Costa Oliveira, Renê Gusmão, André Britto   +2 more
openaire   +1 more source

Alternative Fitness Assignment Methods for Many-Objective Optimization Problems

2010
Pareto dominance (PD) has been the most commonly adopted relation to compare solutions in the multiobjective optimization context. Multiobjective evolutionary algorithms (MOEAs) based on PD have been successfully used in order to optimize bi-objective and three-objective problems. However, it has been shown that Pareto dominance loses its effectiveness
Mario Garza Fabre, Gregorio Toscano Pulido, Carlos A. Coello Coello   +2 more
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Selection hyper-heuristics based optimization for many-objective problems

Heuristics, meta-heuristics, and other search strategies have been successful in solving computationally hard optimization problems, but there are still significant challenges when it comes to applying them to new problems or new instances of the same problem.
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EFFICIENT EVOLUTIONARY ALGORITHMS FOR MANY OBJECTIVE OPTIMIZATION PROBLEMS

2019
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Solving Many-Objective Optimization Problems Using Selection Hyper-Heuristics

Proceedings of the 16th International Conference on Agents and Artificial Intelligence
Adeem Ali Anwar, Guanfeng Liu, Xuyun Zhang   +2 more
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Preference-based evolutionary algorithm for many objective optimization problems

2012
Deb, Kalyanmoy, Korhonen, Pekka, Wallenius, Jyrki, Sinha, Ankur   +4 more
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Many-Objective Multi-Verse Optimizer (MaOMVO): A Novel Algorithm for Solving Complex Many-Objective Engineering Problems

Journal of The Institution of Engineers (India): Series C
Kanak Kalita, Pradeep Jangir, Sundaram B. Pandya, G. Shanmugasundar, Jasgurpreet Singh Chohan, Laith Abualigah   +5 more
openaire   +1 more source

A variable-length many-objective optimization approach in image segmentation problems

2018
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