Bio-inspired computational methods have gained popularity recently. These methods mimic the seemingly complex behavior of organisms to tackle difficult and often overwhelming problems. For example, ...

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 ...

Implementation of dynamic programming heuristics from a research paper to solve the Quadratic Knapsack Problem (QKP), with test cases and complexity analysis.

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 ...

Have We Been Thinking About A.D.H.D. All Wrong? With diagnoses at a record high, some experts have begun to question our assumptions about the condition — and how to treat it. Supported by With ...

You may have noticed that Smokey Bear has changed his tagline. In fact, it’s been different for years now, but with current news stories, it catches the ear differently. Many of us grew up with Smokey ...

Knapsack problem approached with a Genetic Algorithm solution. Two Genetic selectors were used and are available: Elitist Selection and Tournament Selection.

Aiming at constructing the multi-knapsack model of collaborative portfolio configurations in multi-strategy oriented, the hybrid evolutionary algorithm was designed based on greedy method, combining ...