Skip to search formSkip to main content>Semantic Scholar Semantic Scholar's Logo

Search

You are currently offline. Some features of the site may not work correctly.

Semantic Scholar uses AI to extract papers important to this topic.

Review

2020

Review

2020

Most policy search (PS) algorithms require thousands of training episodes to find an effective policy, which is often infeasible… Expand

Review

2019

Review

2019

Abstract The symbiotic organisms search algorithm is a very promising recent metaheuristic algorithm. It has received a plethora… Expand

Review

2017

Review

2017

Abstract The Cuckoo Search algorithm is a recently developed meta-heuristic optimization algorithm, which is used for solving… Expand

Highly Cited

2009

Highly Cited

2009

In recent years, various heuristic optimization methods have been developed. Many of these methods are inspired by swarm… Expand

Highly Cited

2009

Highly Cited

2009

Gravitational search algorithm is one of the new optimization algorithms that is based on the law of gravity and mass… Expand

Highly Cited

2007

Highly Cited

2007

This paper develops an Improved harmony search (IHS) algorithm for solving optimization problems. IHS employs a novel method for… Expand

Highly Cited

2006

Highly Cited

2006

Abstract.We present a primal-dual interior-point algorithm with a filter line-search method for nonlinear programming. Local and… Expand

Highly Cited

2003

Highly Cited

2003

Quantum random walks on graphs have been shown to display many interesting properties, including exponentially fast hitting times… Expand

Highly Cited

1999

Highly Cited

1999

This paper introduces GRASP (Generic seaRch Algorithm for the Satisfiability Problem), a new search algorithm for Propositional… Expand

Highly Cited

1994

Highly Cited

1994

The three-step search (TSS) algorithm has been widely used as the motion estimation technique in some low bit-rate video… Expand