عنوان البحث | ملخص البحث | Research Abstract |
Numerical Optimization & Swarm Intelligence for optimization | | |
SOLVING CONSTRAINED MULTIOBJECTIVE OPTIMIZATION USING RP-TR/PSO | | In this paper, a hybrid approach combining trust region (TR) algorithm and particle
swarm optimization (PSO) is proposed for solving constrained multiobjective optimization
problems (MOOPs). The proposed approach integrates the merits o |
Reference Point Based TR-PSO for Multi-Objective Environmental/Economic Dispatch | | A reference point based multi-objective optimization using a combination between trust
region (TR) algorithm and particle swarm optimization (PSO) to solve the multi-objective
environmental/economic dispatch (EED) problem is presented i |
TRUST REGION-PARTICLE SWARM FOR MULTI-OBJECTIVE ENGINEERING COMPONENT DESIGN PROBLEMS | | In this paper, we apply a proposed approach for solving multi-objective engineering
design problem (MOEDP) with multiple objectives. In the proposed approach, a reference
point based multi-objective optimization (MOO) using a combinatio |
Trust-region algorithm based local search for multi-objective optimization | | In this paper, a new algorithm is proposed to solve multi objective optimization
problems (MOOPs) through applying the trust region (TR) method based local search (LS)
techniques; where the MOOP converting to a single objective optimiza |
A Novel Hybrid Ant Colony Optimization and Firefly Algorithm for Solving Constrained Engineering Design Problems | | This paper proposes ACO-FFA for constrained optimization problems, which
incorporates the concepts from ant colony optimization (ACO) and firefly algorithm (FFA).
The methodology of the proposed algorithm is introduced based on a parall |
Hybridizing ant colony optimization with firefly algorithm for unconstrained optimization problems | | We propose a novel hybrid algorithm named ACO–FA, which integrate ant colony
optimization (ACO) with firefly algorithm (FA) to solve unconstrained optimization problems.
The proposed algorithm integrates the merits of both ACO and FA an |
A NOVEL HYBRID ANT COLONY OPTIMIZATION AND FIREFLY ALGORITHM FOR MULTI-OBJECTIVE OPTIMIZATION PROBLEMS | | In this paper, a novel hybrid approach named VEACO-FA for solving multi-objective
optimization problems (MOPs) is presented. The proposed approach differs from the
traditional ones in its design the vector of colonies associated with th |