Results 31 to 40 of about 122,352 (134)
Multi-Objective Optimization Benchmarking Using DSCTool
By performing data analysis, statistical approaches are highly welcome to explore the data. Nowadays with the increases in computational power and the availability of big data in different domains, it is not enough to perform exploratory data analysis ...
Peter Korošec, Tome Eftimov
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Satisfying various constraints and multiple objectives simultaneously is a significant challenge in solving constrained multi-objective optimization problems.
Yufei Yang, Changsheng Zhang
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In order to achieve good adaptability, medical bone implants for clinical applications need to have porous characteristics. From a biological and mechanical point of view, the design of porous structures requires both suitable porosities to facilitate ...
Rui Liu +3 more
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With the depletion of sources of primary energy across the world, the prospect of a global energy crisis in the near future has raised considerable concern.
Bowen Yang
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Multi-Objective BiLevel Optimization by Bayesian Optimization
In a multi-objective optimization problem, a decision maker has more than one objective to optimize. In a bilevel optimization problem, there are the following two decision-makers in a hierarchy: a leader who makes the first decision and a follower who ...
Vedat Dogan, Steven Prestwich
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Pymoo: Multi-Objective Optimization in Python
Python has become the programming language of choice for research and industry projects related to data science, machine learning, and deep learning. Since optimization is an inherent part of these research fields, more optimization related frameworks ...
Julian Blank, Kalyanmoy Deb
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Multi-Objective Mayfly Optimization in Phase Optimization of OFDM
Communication systems have been used tremendously in recent years which results in the need for high data transmission rates. Orthogonal Frequency Division Multiplexing (OFDM) provides robust performance in frequency selective fading due to high ...
Abdul Azeez, Suraiya Tarannum
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A new multi objective crested porcupines optimization algorithm for solving optimization problems
This paper presents a new multi-objective optimization algorithm called the Multi-Objective Crested Porcupines Optimization (MOCPO) Algorithm, which uses an elitist, non-dominated sorting and crowding distance mechanism.
Divya Adalja +7 more
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Multi‐objective evolutionary optimization for hardware‐aware neural network pruning
Neural network pruning is a popular approach to reducing the computational complexity of deep neural networks. In recent years, as growing evidence shows that conventional network pruning methods employ inappropriate proxy metrics, and as new types of ...
Wenjing Hong +4 more
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A Multi Objective Optimization Approach for Resources Procurement of Bank [PDF]
Calculating total cast of bank resources procurement methods which include current -free loan deposit, saving interest-free loan deposit, regular and net short-term investment deposit, long-term investment deposit and surety bond cash deposit and ...
amir mohammad-zadeh +3 more
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