This paper introduces a new hybrid optimisation approach by combining immune algorithm and simulated annealing algorithm. The main goal of the present research is to develop a novel optimisation approach for the solution of engineering optimisation problems. To demonstrate the effectiveness and robustness of the proposed approach, it is applied to engineering optimisation problems including the multi-pass turning problem taken from the literature and a shape design optimisation problem from automotive industry. Compared with other existing approaches in the literature, the proposed approach is very useful for optimal design and manufacturing
Mathematical optimisation consists of the modelling and solving of optimisation problems. Although b...
Nesting is a process where shapes are orientated and located optimally on a parent substrate. Effect...
[[abstract]]This paper proposes an evolutionary multi-objective optimization algorithm that applies ...
The focus of this research is on a hybrid method combining immune algorithm with a hill climbing loc...
This paper presents a new hybrid optimization approach based on immune algorithm and hill climbing l...
This paper proposes a hybrid optimization method based on the fusion of the Simulated Annealing (SA)...
This paper presents a novel optimization approach that is a new hybrid optimization approach based o...
[[abstract]]Complex optimisation problems with many degrees of freedom are often characterised by th...
Simulated Annealing (SA) is a heuristic solution strategy to find an optimal solution in a problem w...
The primary objective of this chapter is to introduce Artificial Immune Systems (AIS) as a relativel...
Abstract. In this paper, we present a modified version of an algorithm inspired on the T-Cell model,...
This paper proposes an evolutionary multi-objective optimization algorithm that applies the concept ...
We discuss a procedure to determine the optimal set of parameters relevant to heuristics based on th...
The problem of design optimization is of high industrial interest, and has been extensively studied ...
This paper describes an innovative optimization approach that offers significant improvements in per...
Mathematical optimisation consists of the modelling and solving of optimisation problems. Although b...
Nesting is a process where shapes are orientated and located optimally on a parent substrate. Effect...
[[abstract]]This paper proposes an evolutionary multi-objective optimization algorithm that applies ...
The focus of this research is on a hybrid method combining immune algorithm with a hill climbing loc...
This paper presents a new hybrid optimization approach based on immune algorithm and hill climbing l...
This paper proposes a hybrid optimization method based on the fusion of the Simulated Annealing (SA)...
This paper presents a novel optimization approach that is a new hybrid optimization approach based o...
[[abstract]]Complex optimisation problems with many degrees of freedom are often characterised by th...
Simulated Annealing (SA) is a heuristic solution strategy to find an optimal solution in a problem w...
The primary objective of this chapter is to introduce Artificial Immune Systems (AIS) as a relativel...
Abstract. In this paper, we present a modified version of an algorithm inspired on the T-Cell model,...
This paper proposes an evolutionary multi-objective optimization algorithm that applies the concept ...
We discuss a procedure to determine the optimal set of parameters relevant to heuristics based on th...
The problem of design optimization is of high industrial interest, and has been extensively studied ...
This paper describes an innovative optimization approach that offers significant improvements in per...
Mathematical optimisation consists of the modelling and solving of optimisation problems. Although b...
Nesting is a process where shapes are orientated and located optimally on a parent substrate. Effect...
[[abstract]]This paper proposes an evolutionary multi-objective optimization algorithm that applies ...