Add to ORKGMost bio-inspired algorithms simulate the behaviors of animals. This paper proposes a new plant-inspired algorithm named Root Mass Optimization (RMO). RMO simulates the root growth behavior of plants. Seven well-known benchmark functions are used to validate its optimization effect. We compared RMO with other existing animal-inspired algorithms, including artificial bee colony (ABC) and particle swarm optimization (PSO). The experimental results show that RMO outperforms other algorithms on most benchmark functions. RMO provides a new reference for solving optimization problems. © 2013 Springer-Verlag
AbstractIn this work, a new plant-inspired optimization algorithm namely the hybrid artificial root ...
This paper proposes a novel multi-objective root system growth optimizer (MORSGO) for the copper str...
The book provides readers with a snapshot of the state of the art in the field of nature-inspired co...
Most bio-inspired algorithms simulate the behaviors of animals. This paper proposes a new plant-insp...
Most nature-inspired algorithms simulate intelligent behaviors of animals and insects that can move ...
Inspired by the behaviors of plant root growth, an Artificial Root Mass (ARM) optimization algorithm...
Plant root foraging exhibits complex behaviors analogous to those of animals, including the adaptabi...
In this contribution, a novel bionic algorithm inspired by plant root foraging behaviors, namely art...
This paper presents a general optimization model gleaned ideas from plant root growth behaviors in t...
Nature has the ability of sustainability and improvisation for better survival. This unique characte...
This paper presents a general optimization model gleaned ideas from root growth behaviors in the soi...
This paper presents the study of modelling root growth behaviours in the soil. The purpose of the st...
Inspired by the process of migration and reproduction of flora, this paper proposes a novel artifici...
In this work, a new plant-inspired optimization algorithm namely the hybrid artificial root foraging...
Nature-inspired algorithms are proving to be very successful on complex optimisation problems. A new...
AbstractIn this work, a new plant-inspired optimization algorithm namely the hybrid artificial root ...
This paper proposes a novel multi-objective root system growth optimizer (MORSGO) for the copper str...
The book provides readers with a snapshot of the state of the art in the field of nature-inspired co...
Most bio-inspired algorithms simulate the behaviors of animals. This paper proposes a new plant-insp...
Most nature-inspired algorithms simulate intelligent behaviors of animals and insects that can move ...
Inspired by the behaviors of plant root growth, an Artificial Root Mass (ARM) optimization algorithm...
Plant root foraging exhibits complex behaviors analogous to those of animals, including the adaptabi...
In this contribution, a novel bionic algorithm inspired by plant root foraging behaviors, namely art...
This paper presents a general optimization model gleaned ideas from plant root growth behaviors in t...
Nature has the ability of sustainability and improvisation for better survival. This unique characte...
This paper presents a general optimization model gleaned ideas from root growth behaviors in the soi...
This paper presents the study of modelling root growth behaviours in the soil. The purpose of the st...
Inspired by the process of migration and reproduction of flora, this paper proposes a novel artifici...
In this work, a new plant-inspired optimization algorithm namely the hybrid artificial root foraging...
Nature-inspired algorithms are proving to be very successful on complex optimisation problems. A new...
AbstractIn this work, a new plant-inspired optimization algorithm namely the hybrid artificial root ...
This paper proposes a novel multi-objective root system growth optimizer (MORSGO) for the copper str...
The book provides readers with a snapshot of the state of the art in the field of nature-inspired co...