Hybrid metaheuristics and multi-agent systems for solving optimization problems: A review of frameworks and a comparative analysis
This article presents a review and a comparative analysis between frameworks for solving
optimization problems using metaheuristics. The aim is to identify both the desirable …
optimization problems using metaheuristics. The aim is to identify both the desirable …
Enhanced parallel differential evolution algorithm for problems in computational systems biology
Many key problems in computational systems biology and bioinformatics can be formulated
and solved using a global optimization framework. The complexity of the underlying …
and solved using a global optimization framework. The complexity of the underlying …
Homogenous multi-agent optimization for process systems engineering problems with a case study of computer aided molecular design
In this paper, we propose a novel homogenous multi-agent optimization (HMAO) framework
for optimal design of large scale process system engineering problems. The platform is …
for optimal design of large scale process system engineering problems. The platform is …
A multiagent, dynamic rank-driven multi-deme architecture for real-valued multiobjective optimization
Multiobjective real parameter optimization is a challenging problem in majority of
engineering applications. This paper presents a creative multiagent and dynamic multi …
engineering applications. This paper presents a creative multiagent and dynamic multi …
A multi-agent based optimization method for combinatorial optimization problems
This paper introduces a Multi-Agent based Optimization Method for Combinatorial
Optimization Problems named MAOM-COP. In this method, a set of agents are cooperatively …
Optimization Problems named MAOM-COP. In this method, a set of agents are cooperatively …
A tournament-based competitive-cooperative multiagent architecture for real parameter optimization
Real parameter optimization is an important task in almost all engineering applications. This
paper introduces a novel multiagent architecture and agent interaction mechanism for the …
paper introduces a novel multiagent architecture and agent interaction mechanism for the …
Agent assisted interactive algorithm for computationally demanding multiobjective optimization problems
We generalize the applicability of interactive methods for solving computationally
demanding, that is, time-consuming, multiobjective optimization problems. For this purpose …
demanding, that is, time-consuming, multiobjective optimization problems. For this purpose …
Optimization in computational systems biology via high performance computing techniques
DR Penas - 2017 - digital.csic.es
[EN] The aim of computational systems biology is to generate new knowledge and
understanding about complex biological systems by combining experimental data with …
understanding about complex biological systems by combining experimental data with …
AMAM: framework multiagente para otimização usando metaheurísticas
MAL Silva - 2019 - bdtd.ibict.br
Esta tese apresenta um framework multiagente para otimização usando metaheurísticas,
denominado Arquitetura Multiagente para Metaheurísticas (AMAM). O framework AMAM é …
denominado Arquitetura Multiagente para Metaheurísticas (AMAM). O framework AMAM é …
[PDF][PDF] Hybrid Metaheuristics and Multi-agent Systems for solving Optimization Problems: a review of frameworks and a comparative analysis
MALSS Ricardo, MJFSM Felizardo, JF Souza… - 2018 - academia.edu
This article presents a review and a comparative analysis between frameworks for solving
optimization problems using metaheuristics. The aim is to identify both the desirable …
optimization problems using metaheuristics. The aim is to identify both the desirable …