A Bionomic Algorithm for the Aircraft Landing Problem
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Updated
Jul 27, 2018 - Python
A Bionomic Algorithm for the Aircraft Landing Problem
Implementation of Genetic Algorithm, Memetic Algorithm and Constraint Satisfaction on a Time Table scheduling problem. Also has an implementation of MiniMax Strategy for TicTacToe
Convolutional Genetic Programming method for image classification
A project on improving Neural Networks performance by using Genetic Algorithms.
Implementation about a memetic algorithm, including a genetic algorithm and local search for our defined Minesweeper game.
Symmetric Cipher Breaking Using Genetic and Memetic Algorithms
A-List of all the Assignment done in Artificial Intelligence Course @IIIT-D
A genetic algorithm to solve the traveling salesman problem
The implementation of the paper Solving the Latin Square Completion Problem by Memetic Graph Coloring
This work was aimed at finding methods to identify the most distant proteins and most diverse subsets of proteins from large protein databases in a scalable and efficient way using a dataset of protein embeddings from SwissProt, data mining techniques and metaheuristics.
Scripts for encryption, decryption, and an attack on the Bifid cipher using a memetic algorithm.
This project focuses on Adaptive University Timetabling Optimization using a hybrid approach combining Genetic Algorithm (GA) and genetic algorithm variation like memetic and cultural simulated annealing algorithm artificial bee clony ABC algorithm Particle Swarm Optimization (PSO).
Final Master's Thesis Project - Coverage Optimization in Wireless Sensor Networks using Memetic Algorithm.
Metaeuristics-based approach for drug design and discovery, with aggregative multiobjective fitness function.
Implementation of metaheuristic optimization methods in Python for scientific, industrial, and educational scenarios. Experiments can be executed in parallel or in a distributed fashion. Experimental results can be evaluated in various ways, including diagrams, tables, and export to Excel.
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