The ABC algorithm is one of the popular optimization algorithms and has been used
successfully in solving many real-world problems. Numeric, binary, integer, mixed integer …

Activity-based scheduling optimization is a combinatorial problem built on the traveling
salesman problem intending to optimize people schedules considering their trips and the …

In recent years, significant research has been done to solve optimization and complex
problems by metaheuristic algorithms. Metaheuristic algorithms are inspired by the …

The traveling salesman problem (TSP) is one of the most intensively studied problems in
computational mathematics. This paper proposes a swarm intelligence approach using a …

Abstract Travelling Salesman Problem (TSP) is an Np-Hard problem, for which various
solutions have been offered so far. Using the Harris Hawk Optimization (HHO) algorithm, this …

The application of artificial intelligence in everyday life is becoming all-pervasive and
unavoidable. Within that vast field, a special place belongs to biomimetic/bio-inspired …

The sparrow search algorithm (SSA) tends to fall into local optima and to have insufficient
stagnation when applied to the traveling salesman problem (TSP). To address this issue, we …

Jaya algorithm is a newly proposed stochastic population-based metaheuristic optimization
algorithm to solve constrained and unconstrained continuous optimization problems. The …

ABSTRACT Travelling Salesman Problem (TSP) is a discrete hybrid optimization problem
considered NP-hard. TSP aims to discover the shortest Hamilton route that visits each city …

Abstract Evaluation, simulation and optimization of PV systems is very important for fast and
accurate parameter extraction based on current–voltage and power–voltage characteristic …