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JQM - Java Quine McCluskey for minimization of Boolean functions.
Java Quine McCluskey implements the Quine McCluskey algorithm with Petrick’s Method (or the method of prime implicants) for minimization of Boolean functions. This software can be used both for learning and solving real problems. As a learning/teaching tool, it presents not only the results but also how the problem was solved as well as how to use Karnaugh Maps to solve the problem.
The ASCO project aims to bring circuit optimization capabilities to existing SPICE simulators using a high-performance parallel differential evolution (DE) optimization algorithm. It supports Eldo, HSPICE, LTspice, Spectre, and Qucs.
NEW OPTIMIZATION TECHNOLOGY & PLANNING EXPERIMENT. Technology is designed for multidimensional optimization practical problems with continuous object functions. Technology higher efficiency than traditional optimization methods.
Processes boolean functions which can be provided either as a list of 0s and 1s or which can be provided as a formula in first-order logic (using disjunctive or conjunctive normal forms). Internally the Quine McCluskey algorithm is used.
MongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
IslandEv distributes a GeneticAlgorithm (like <a href="/projects/jaga">JaGa</a>) across a network (see <a href="/projects/distrit">DistrIT</a>) using an island based coevolutionary model in which neighbouring islands swap migrating individuals every
This project aims at using the Artificial Intelligence (AI) algorithm called the Geneticalgorithm to solve the problem of placement in the FPGA circuits.