The trend of AI researchers developing new, small open source generative models that outperform far larger, proprietary peers continued this week with yet another staggering advancement. The goal is ...

In this paper, we study the stochastic knapsack problem with expectation constraint. We solve the relaxed version of this problem using a stochastic gradient algorithm in order to provide upper bounds ...

Abstract: The knapsack problem is a classic NP-hard optimization challenge with wide-ranging applications in computer science, such as resource allocation. While several variants have been developed, ...

Abstract: The 0-1 Knapsack Problem (KP) and Bin Packing Problem (BPP) are NP-hard combinatorial optimization challenges often tackled using metaheuristics. Both problems have prominent utilization in ...

Another name for brute force is exhaustive search. In these algorithms you consider every possible solution in the solution domain to find the optimal solution. Depending on the type of problem that ...

the id of the item, the profit of the item and the weight of the item. The last line contains an integer describing the knapsack capacity, c. This describes a problem instance in which there are n=3 ...

Virtual threads, revealed in Java's Project Loom and generally available with the Java 21 LTS, promise unparalleled scalability, simplified asynchronous coding and more efficient resource utilization.