Genetic Algorithm for 0/1 Knapsack Problem This project implements a genetic algorithm (GA) to solve the 0/1 knapsack problem. The algorithm evolves a population of potential solutions to maximize the ...

Write a genetic algorithm to solve the knapsack problem. Given size of a knapsack, a number of items, weight & benefit of each item. You should select the maximum number of items that could fit in the ...

The unbounded knapsack problem: given a knapsack of some capacity and a set of items that have a weight and a value, determine the maximum value of items you can place in your knapsack. The number of ...

Abstract: In the stochastic knapsack problem, we are given a knapsack of size B, and a set of items whose sizes and rewards are drawn from a known probability distribution. To know the actual size and ...

In this talk we will present approximation algorithms (and general techniques) for some basic problems in the field of stochastic optimization. A canonical problem is stochastic knapsack: we are given ...

Submodular maximization is a significant area of interest in combinatorial optimization, with numerous real-world applications. A research team led by Xiaoming SUN from the State Key Lab of Processors ...