In this research article, we uphold the principles of the No Free Lunch theorem and employ it
as a driving force to introduce an innovative game-based metaheuristic technique named …

Many engineering and scientific problems in the real-world boil down to optimization
problems, which are difficult to solve by using traditional methods. Meta-heuristics are …

This paper introduces a new metaphor-free metaheuristic called attack-leave optimizer
(ALO). As the name suggests, ALO deploys two strategies to find the optimal solution. The …

A new metaheuristic can be developed by constructing from scratch, modifying the existing
metaheuristics, or hybridizing some metaheuristics. This work presents a new metaheuristic …

Metaheuristic algorithms are widely used in solving optimization problems. In this paper, a
new metaheuristic algorithm called Skill Optimization Algorithm (SOA) is proposed to solve …

This paper presented a new metaheuristic technique, namely the guided pelican algorithm
(GPA). GPA has the improvements for a shortcoming algorithm, namely the pelican …

Nowadays, the study of neural networks is one of the most interesting research topics. In this
article, we introduce a novel scheme based on Physics Informed Neural Network (PINN) for …

This work offers a new stochastic optimization ie, a metaheuristic algorithm combining both
directionbased search and neighbourhood search called as walk-spread algorithm (WSA) …

This research paper proposes a hybrid Whale Optimization Algorithm (WOA) variant based
on Equilibrium Optimizer (EO), named Equilibrium Whale Optimization Algorithm (EWOA) …

This paper promotes a new swarm-based metaheuristic called four directed search
algorithm or FDSA. FDSA is designed as a directed search-based metaheuristic without …