Natural phenomenon can be used to solve complex optimization problems with its excellent
facts, functions, and phenomenon. In this paper, a survey on physics‐based algorithm is …

In this study, we propose a novel quantum-inspired evolutionary algorithm (QEA), called
quantum inspired Tabu search (QTS). QTS is based on the classical Tabu search and …

This paper proposes a simplified binary version of the artificial fish swarm algorithm (S-
bAFSA) for solving 0–1 quadratic knapsack problems. This is a combinatorial optimization …

A distributed database model can be effectively optimized through using query optimization.
In such a model, the optimizer attempts to identify the most efficient join order, which …

In this paper, we propose a novel quantum-inspired evolutionary algorithm, called quantum-
inspired Tabu search (QTS). QTS is based on the classical Tabu search and the …

Query optimization is considered as the most significant part in a model of distributed
database. The optimizer tries to find an optimal join order, which reduces the query …

Context In requirements engineering phase of the software development life cycle, one of
the main concerns of software engineers is to select a set of software requirements for …

In this study, we propose a novel evolutionary computing method that is called quantum-
inspired electromagnetism-like mechanism (QEM). QEM is based on the electromagnetism …

二次背包问题是一种NP 难组合优化问题, 其精确算法求解难度大, 针对该问题提出了一种量子
进化算法求解方法. 该算法采用一种相对贪婪修补算子, 该修补算子不但考虑了二次背包问题的 …

This thesis studies several aspects of the quantum annealing (QA) computing approach.
Quantum annealers' primary objective is to solve hard computational optimization problems …