GeneLisa - A Genetic Approach to Recreate a MasterPiece

According to MathWorks.com Genetic Algorithm is defined as

A genetic algorithm (GA) is a method for solving both constrained and unconstrained optimization problems based on a natural selection process that mimics biological evolution. The algorithm repeatedly modifies a population of individual solutions. At each step, the genetic algorithm randomly selects individuals from the current population and uses them as parents to produce the children for the next generation. Over successive generations, the population "evolves" toward an optimal solution.

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Graph Theory Push Relabel Algorithm Implementation in JavaScript

Introduction

When a Graph Represent a Flow Network where every edge has a capacity. Also given that two vertices, source 's' and sink 't' in the graph, we can find the maximum possible flow from s to t with having following constraints:

1. Flow on an edge doesn't exceed the given edge capacity
2. Incoming flow is equal to Outgoing flow for every vertex excluding sink and source

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Ford Fulkerson Algorithm for Maximum Flow Problem

Introduction

When a Graph Represent a Flow Network where every edge has a capacity. Also given that two vertices, source 's' and sink 't' in the graph, we can find the maximum possible flow from s to t with having following constraints:

1. Flow on an edge doesn't exceed the given edge capacity
2. Incoming flow is equal to Outgoing flow for every vertex excluding sink and source

Read More