Results 211 to 220 of about 75,350 (240)

Optimization of groundwater utilization strategy based on an improved snake optimizer integrating whale algorithm and bubble-net mechanism. [PDF]

Sci Rep
Shuang H, Chuanchen Z, Miao L, Xiaosheng W, Linjie H.   +4 more
europepmc   +1 more source

A quantum-driven multi-objective scheduler for scalable task orchestration in fog-based cyber-physical-social systems. [PDF]

Sci Rep
Hammouda NG, Shalaby M, Alfilh RHC, Singh NSS.   +3 more
europepmc   +1 more source

A differential equation-driven update strategy for density-based topology optimization: implementation with MATLAB codes. [PDF]

Eng Comput
Liu Y, Tan W.
europepmc   +1 more source

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Hyperplane Assisted Evolutionary Algorithm for Many-Objective Optimization Problems

IEEE Transactions on Cybernetics, 2020
In many-objective optimization problems (MaOPs), forming sound tradeoffs between convergence and diversity for the environmental selection of evolutionary algorithms is a laborious task. In particular, strengthening the selection pressure of population toward the Pareto-optimal front becomes more challenging, since the proportion of nondominated ...
Huangke Chen, Ye Tian, Witold Pedrycz, Guohua Wu, Rui Wang, Ling Wang   +5 more
openaire   +2 more sources

Simulated annealing for many objective optimization problems

2016 35th International Conference of the Chilean Computer Science Society (SCCC), 2016
The difficulty to solve many objective optimization problems (MaOP) with well-established Multi-objective Evolutionary Algorithms as NSGA-II (Non-dominated Sorting Genetic Algorithm-II) motivates this work to develop a new alternative for solving MaOP problems.
Eduardo Ramon Morales Ferreira, Benjamin Baran Cegla   +1 more
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Challenging test problems for multi- and many-objective optimization

Swarm and Evolutionary Computation, 2023
In spite of the extensive studies that have been conducted regarding the construction of multi-objective test problems, researchers have mainly focused their interests on designing complicated search spaces, disregarding, in many cases, the design of the Pareto optimal fronts of the problems. In this regard, the work related to scalable multi-objective
Saúl Zapotecas-Martínez, Carlos A. Coello Coello, Hernán E. Aguirre, Kiyoshi Tanaka   +3 more
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Parallel SMS-EMOA for Many-Objective Optimization Problems

Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion, 2016
In the last decade, there has been a growing interest in multi-objective evolutionary algorithms that use performance indicators to guide the search. A simple and effective one is the S-Metric Selection Evolutionary Multi-Objective Algorithm (SMS-EMOA), which is based on the hypervolume indicator.
Raquel Hernández Gómez, Carlos A. Coello Coello   +1 more
openaire   +1 more source