Recent trends in the use of statistical tests for comparing swarm and evolutionary computing algorithms: Practical guidelines and a critical review
A key aspect of the design of evolutionary and swarm intelligence algorithms is studying
their performance. Statistical comparisons are also a crucial part which allows for reliable …
their performance. Statistical comparisons are also a crucial part which allows for reliable …
A qualitative systematic review of metaheuristics applied to tension/compression spring design problem: Current situation, recommendations, and research direction
A Tzanetos, M Blondin - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
New metaheuristic algorithms have soared over the past ten years. A common practice in
proposing a new algorithm is validating it on several benchmark functions and engineering …
proposing a new algorithm is validating it on several benchmark functions and engineering …
Slime mould algorithm: A new method for stochastic optimization
In this paper, a new stochastic optimizer, which is called slime mould algorithm (SMA), is
proposed based on the oscillation mode of slime mould in nature. The proposed SMA has …
proposed based on the oscillation mode of slime mould in nature. The proposed SMA has …
Optimization of optimal power flow problem using multi-objective manta ray foraging optimizer
Finding a feasible solution set for optimization problems in conflict with objective functions
poses significant challenges. Moreover, in such problems, the level of complexity may …
poses significant challenges. Moreover, in such problems, the level of complexity may …
A new optimization algorithm inspired by the quest for the evolution of human society: human felicity algorithm
EF Veysari - Expert Systems with Applications, 2022 - Elsevier
The present paper introduces a new evolutionary algorithm to solve optimization issues
called the human felicity algorithm (HFA). The main idea of the HFA has been inspired the …
called the human felicity algorithm (HFA). The main idea of the HFA has been inspired the …
A diversity metric for population-based metaheuristic algorithms
Abstract In Metaheuristic Algorithms (MA), the balance between exploration and exploitation
is a common issue considered an open research problem in the MA community. Besides its …
is a common issue considered an open research problem in the MA community. Besides its …
A mixed-integer convex model for the optimal placement and sizing of distributed generators in power distribution networks
The optimal placement and sizing of distributed generators is a classical problem in power
distribution networks that is usually solved using heuristic algorithms due to its high …
distribution networks that is usually solved using heuristic algorithms due to its high …
An improved Harris Hawks Optimization algorithm for continuous and discrete optimization problems
H Gezici, H Livatyali - Engineering Applications of Artificial Intelligence, 2022 - Elsevier
Abstract Harris Hawks Optimization (HHO) is a population-based meta-heuristic optimization
algorithm that has been used for the solution of test functions and real-world problems by …
algorithm that has been used for the solution of test functions and real-world problems by …
Novel yellow saddle goatfish algorithm for improving performance and efficiency of PV system under partial shading conditions
This paper proposes a novel maximum power point tracking (MPPT) technique based on a
new optimization algorithm called yellow saddle goatfish algorithm (YSGA). The photovoltaic …
new optimization algorithm called yellow saddle goatfish algorithm (YSGA). The photovoltaic …
Measuring and evaluating the home health care scheduling problem with simultaneous pick-up and delivery with time window using a Tabu search metaheuristic …
Abstract The Home Health Care Scheduling Problem (HCSP) with Simultaneous Pick-up
and Delivery and Time Window (HCSPSPDTW) consists of finding the optimal crew …
and Delivery and Time Window (HCSPSPDTW) consists of finding the optimal crew …