Abstract We propose hybrid Artificial Bee Colony (ABC) optimization algorithms for the well-
known Quadratic Assignment Problem (QAP). Large problem instances of the QAP are still …

Mathematical optimization is now widely regarded as an indispensable modeling and
solution tool for the design of wireless communications systems. While optimization has …

Abstract Teaching–Learning-Based Optimization (TLBO) is a novel swarm intelligence
metaheuristic that is reported as an efficient solution method for many optimization …

Optimization problems over permutation matrices appear widely in facility layout, chip
design, scheduling, pattern recognition, computer vision, graph matching, etc. Since this …

Particle swarm optimization has been established to be one of the efficient algorithms for
finding solutions for continuous optimization problems. The discretized form of particle …

The Quadratic Assignment Problem (QAP) is one of the problems of combinatorial
optimization belonging to the NP-hard problems' class and has a wide application in the …

In optimization theory, the adaptive control of the optimization process is an important goal
that people pursue. To solve this problem, this study introduces the idea of neutrosophic …

Harris Hawk optimization (HHO) is a new robust metaheuristic algorithm proposed for the
solution of large intractable combinatorial optimization problems. The hawks are cooperative …

In the first part of this study, a convex-constrained penalized formulation was studied for a
class of constant modulus (CM) problems. In particular, the error bound techniques were …

非负正交约束优化问题是同时带有非负约束和正交约束的优化问题, 该类问题在机器学习和数据
科学中有着重要的应用. 常见的非负正交约束优化问题包括二次指派问题, 图匹配问题 …