We explored this issue using a novel meta-analytic clustering approach.
We present a novel meta-level heuristic algorithm for multi-criteria search.
ST2Class is a novel meta-cognitive scaffolding classifier that operates completely in local and incremental learning modes.
The Grey Wolf Optimizer (GWO) algorithm is a novel meta-heuristic, inspired from the social hunting behavior of grey wolves.
The ant system algorithm (ASA) has proved to be a novel meta-heuristic algorithm to solve many multivariable problems.
This paper proposes the application of a novel meta-heuristic algorithm to the metropolitan wireless local area network deployment problem.
As the problem is shown to be NP-hard, a novel meta-heuristic algorithm called multi-objective biogeography-based optimization is developed.
A novel meta-heuristic algorithm that is based on the principles of particle swarm optimization (PSO) is proposed for course scheduling problem.
This paper presents a novel meta-heuristic optimization algorithm, named Adaptive Simplified Human Learning Optimization (ASHLO), which is inspired by the human learning mechanisms.
In the last decades, a number of novel meta-heuristics and hybrid algorithms have been proposed to solve a great variety of optimization problems.
