Results 201 to 210 of about 46,625 (244)
Some of the next articles are maybe not open access.
Introduction: Optimization and Metaheuristics Algorithms
2020Present chapter embodies an introductory overview of optimization and metaheuristic algorithms. An optimization problem consists of maximizing or minimizing a real function by systematically choosing input values from within an allowed set and computing the value of the function.
Padam Singh, Sushil Kumar Choudhary
openaire +1 more source
Thermal Exchange Metaheuristic Optimization Algorithm
2021This chapter consists of two parts. In the first part, the recently developed optimization algorithm based on Newton’s law of cooling is presented, which is called Thermal Exchange Optimization (TEO) algorithm [1]. In the second part, the improved version of TEO is named as Improved TEO and abbreviated as ITEO [2] is presented.
openaire +1 more source
Performance Measures of Metaheuristic Algorithms
2015Generally speaking, it is not fully understood why and how metaheuristic algorithms work very well under what conditions. It is the intention of this paper to clarify the performance characteristics of some of popular algorithms depending on the fitness landscape of specific problems. This study shows the performance of each considered algorithm on the
Joong Hoon Kim +3 more
openaire +1 more source
Introduction to Metaheuristic Algorithms
2021Ishaan R. Kale, Anand J. Kulkarni
openaire +1 more source
Noisy intermediate-scale quantum algorithms
Reviews of Modern Physics, 2022Kishor Bharti +2 more
exaly
Quantum Information and Algorithms for Correlated Quantum Matter
Chemical Reviews, 2021Kade Head-Marsden +2 more
exaly