Optimization problems in gravitational attraction

Solving Combinatorial Optimization Problems Using a New Algorithm Based on Gravitational Attraction

Weighted Superposition Attraction (WSA): A swarm intelligence algorithm for optimization problems - Part 2: Constrained optimization

This paper is the second one of the two papers entitled “Weighted Superposition Attraction (WSA) Algorithm”, which is about the performance evaluation of the WSA algorithm in solving the constrained global optimization problems. For this purpose, the well-known mechanical design optimization problems, design of a tension/compression coil spring, design of a pressure vessel, design of a welded b...

Gravitational Interactions Optimization

Evolutionary computation is inspired by nature in order to formulate metaheuristics capable to optimize several kinds of problems. A family of algorithms has emerged based on this idea; e.g. genetic algorithms, evolutionary strategies, particle swarm optimization (PSO), ant colony optimization (ACO), etc. In this paper we show a populationbased metaheuristic inspired on the gravitational forces...

Earth’s Gravitational Attraction to the Moon and the Resulting Tides

The revolution and rotation of the Moon are well understood and there is little debate as to their mechanisms in the present day. However, it is generally unknown to the public that the Moon is responsible for the current length of our day. Research in the early part of the 20 th century found that the Moon was much closer in the past and is getting farther everyday (Street, 1917). More current...

Theoretical problems in nonsymmetric gravitational theory.

Rapid Communications are intended for important new results which deserve accelerated publication, and are therefore given priority in editorial processing and production AR.apid Communication in Physical Review D should be no longer than jk~e printed pages and must be accompanied by an abstract Page .proofs are sent to authors, but because of the accelerated schedule, publication is generally ...