Circuit Design Optimization Using Hybrid Genetic and Heuristic Algorithms
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Solution Overview
Problem
Genetic algorithms face challenges in achieving high optimization performance when used for circuit structure optimization, necessitating the addition of heuristic algorithms to overcome limitations.
Innovation Solution
An apparatus and method that utilize processors to generate an initial solution set, perform crossover and mutation operations, and optimize node positions based on edge lengths to create a target circuit structure, incorporating techniques like depth-first search and breadth-first search to minimize wire lengths.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If a genetic algorithm is used to optimize circuit structure, then the optimization process can be automated and parallelized, but high optimization performance cannot be achieved
Solution Approach 1:
The patent combines genetic algorithm with heuristic algorithm into a hybrid optimization approach. The genetic algorithm provides automated parallel search capability while the heuristic algorithm enhances optimization performance by guiding the search towards better solutions through domain-specific knowledge and rules.
Solution Approach 2:
The optimization system uses a composite algorithmic approach, integrating two different algorithmic paradigms (genetic algorithm and heuristic algorithm) to create a hybrid optimizer that leverages the strengths of both methods to achieve superior circuit structure optimization performance.
2Manufacturing precision
If heuristic algorithm is added to overcome genetic algorithm limitations, then optimization performance improves, but algorithm complexity increases
Solution Approach 1:
The patent divides the optimization process into distinct phases or components where the genetic algorithm handles global exploration and the heuristic algorithm handles local refinement. This segmentation allows each algorithm to specialize in specific aspects of optimization, improving overall performance while managing complexity through modular design.
Data Source
AI summary
An apparatus with circuit designing may include: one or more processors configured to: generate an initial solution set based on nodes and edges comprised in a graph corresponding to a circuit to be optimized; generate a crossover solution by performing a crossover operation based on a plurality of solutions comprised in the initial solution set; perform a first change of positions of nodes comprised in the crossover solution by performing a mutation operation on the crossover solution; and generate a target circuit structure by performing a second change of the positions of the first changed nodes based on lengths of the edges connecting the nodes.