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Results show that, thanks to the combined usage of surrogate models and adaptive training in an evolutionary optimization framework, optimal candidates may be located even with limited computational resources with respect to plain evolutionary approaches and similar standard methodologies.
One possible solution to generalize the manipulation of all moment types is the use of an evolutionary optimization procedure to search for optimal quantization steps for each moment coefficient.
In this paper, optimal switching characteristics of a CMOS inverter are realized using an evolutionary optimization approach called differential evolution (DE) algorithm.
The resulting optimization problem is solved using an evolutionary optimization algorithm.
The Genetic Algorithm, which is an evolutionary optimization method, is employed to produce the required designs.
Finally, an evolutionary optimization algorithm is employed to maximize the cathode CL's performance.
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A evolutionary optimization technique is proposed to achieve optimal cell dimension for process tolerant SRAM.
The LSSVRs' parameters are optimized by a new evolutionary optimization technique known as the Cuckoo Optimization Algorithm (COA).
This study proposes a cooperative evolutionary optimization method between a user and system (CEUS) for problems involving quantitative and qualitative optimization criteria.
The paper proposes a novel evolutionary optimization approach of solving a multi-robot stick-carrying problem.
A hybrid evolutionary optimization algorithm is also proposed in order to efficiently minimize an objective function that consists of differences between the fuzzy experimental measurements and the analytical data.
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